Research Events
STOR-i Annual Conference
STOR-i is committed to developing and disseminating research of direct relevance to industry and government as well as to the academic community. We hold an annual conference to showcase STOR-i’s research progress and achievement.
The Annual Conference provides an opportunity to cement co-working within STOR-i and stimulate the pooling of ideas and the discussion of research opportunities within targeted areas. The annual conference is open to our industrial partners, to visiting PhD students, and to our external advisers.
Previous STOR-i Conferences
You can find a list of the previous annual conferences below and links to further details for each:
Previous Conferences Accordion Accordion
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2020 Annual Conference
Date
Thursday 9th & Friday 10th January 2020
Description
The STOR-i Centre for Doctoral Training at Lancaster University is hosting the ninth annual conference with talks from key researchers from Statistics, Operational Research and Industry.
Refreshments and lunch will take place in the FST Training Room 1, Science and Technology Building (marked SAT on campus map). Talks will be held in FST Training Room 2.
Day 1 Itinerary
- 09:30 - Registration and refreshments in FST Training Room 1
- 10:00 - Alex Jacquillat, MIT
- 10:45 - Henry Moss, STOR-i PhD student
- 11:15 - Valeria Vitelli, University of Oslo
- 12:00 - Lunch
- 13:00 - Miguel Anjos, University of Edinburgh
- 13:45 - Georgia Souli, STOR-i PhD student
- 14:15 - Refreshment break
- 14:45 - Richard Davis, Columbia University
- 15:30 - Tom Flowerdew, STOR-i Alumni
- 16:00 - Christine Currie, University of Southampton
- 16:45 - Talks finish
- 18:30 - Poster Session in the FST Rooms / STOR-i space with wine reception and buffet
Day 2 Itinerary
- 09:15- Veronica Vinciotti, Brunel University
- 10:00- Dolores Romero Morales, Copenhagen Business School
- 10:45- Refreshment break
- 11:15- Ciara Pike-Burke, STOR-i Alumni
- 11:45- Brendan Murphy, University College Dublin
- 12:30- Lunch
- 13:30- Close
Downloads
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2019 Annual Conference
Date
Thursday 10th & Friday 11th January 2019
Description
The STOR-i Centre for Doctoral Training at Lancaster University is hosting the eighth annual conference with talks from key researchers from Statistics, Operational Research and Industry.
Refreshments and lunch will take place in the FST Training Room 1, Science and Technology Building (marked SAT on campus map). Talks will be held in FST Training Room 2.
Day 1 Itinerary
- 09:30 - Registration and refreshments in FST Training Room 1
- 10:00 - Alison Etheridge, Department of Statistics, University of Oxford
- 11:00 - Kathryn Turnbull, STOR-i PhD student
- 11:30 - Lisa Turner, Lubrizol (STOR-i Alumni)
- 12:00 - Lunch
- 13:00 - Elisabeth Ling, Elsevier
- 13:30 - David Morton, Department of Industrial Engineering and Management Sciences, Northwestern University
- 14:30 - Refreshment break
- 15:00 - Chris Harbron, Roche
- 15:30 - E Marian Scott, School of Mathematics and Statistics, University of Glasgow
- 16:30 - Talks finish
- 18:30 - Poster Session in the FST Rooms / STOR-i space with a wine reception and buffet
Day 2 Itinerary
- 09:30 - Arne Strauss, Warwick Business School
- 10:30 - Shreena Patel, dunnhumby (STOR-i Alumni)
- 11:00 - Refreshment break
- 11:30 - Audrey Lagache, EDF
- 12:00 - Jake Clarkson, STOR-i PhD Student
- 12:30 - Lunch
- 13:30 - Close
Downloads
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2018 Annual Conference
Date
11-12 January 2018
Day One
09:30-16:30- FST Training Rooms, A76, Science and Technology Building (SAT building on the campus map) 18:30-21:00- Evening poster presentation in the STOR-i space (SAT on the campus map) The STOR-i Doctoral Training Centre at Lancaster University is hosting the seventh annual conference with talks from key researchers from Statistics, Operational Research and Industry. Registration, refreshments and lunch will take place in the FST Training Room 1, Science and Technology Building. Talks will be held in FST Training Room 2.
Itinerary
- 09:30 - Registration and refreshments in FST Training Room 1
- 10:00 - Dr David Mguni, prowler.io
- 10:30 - Professor Po-Ling Loh, Department of Electrical and Computer Engineering, University of Wisconsin-Madisson
- 11:30 - Kathryn Turnbull, STOR-i PhD student
- 12:00 - Lunch
- 13:00 - Matt Ludkin, STOR-i Alumni, Lancaster University
- 13:30 - Dr Kerem Akartunali, Department of Management Science, University of Strathclyde
- 14:30 - Refreshment break
- 15:00 - Professor Mike Atkinson, Operations Research Department, Naval Postgraduate School
- 16:00 - Dr Jeremy Bradley, Royal Mail Group
- 16:30 - Talks finish
- 18:30 - Poster Session in the FST Rooms / STOR-i space with a wine reception and buffet
Day Two
9:30-13:30- FST Training Rooms, A76, Science and Technology Building (marked SAT on the campus map) The STOR-i Doctoral Training Centre at Lancaster University is hosting the seventh annual conference with talks from key researchers from Statistics, Operational Research and Industry. Refreshments and lunch will take place in the FST Training Room 1, Science and Technology Building. Talks will be held in FST Training Room 2.
Itinerary
- 09:30 - Professor Darren Wilkinson, School of Mathematics & Statistics, Newcastle University
- 10:30 - Dr Rob Shone, Research Associate, Lancaster University
- 11:00 - Refreshment break
- 11:30 - Dr Anthony Ledford, MAN Investments, Industry Speaker
- 12:00 - Ciara Pike-Burke, STOR-i PhD Student
- 12:30 - Lunch
- 13:30 - Close
Downloads
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2017 Annual Conference
Date
12-13 January 2017
Day One
10:00-16:30- LICA Building (Room no. A27, Building 4 on the campus map)(18:30-21:00- Evening poster presentation in the LICA building, A29, Building 4 on the campus map)
The STOR-i Doctoral Training Centre at Lancaster University is hosting the sixth annual conference with talks from key researchers from Statistics, Operational Research and Industry. Registration, refreshments and lunch will take place in the LICA Building foyer. Talks will be held in LICA A27.
Itinerary
- 10:00 - Registration and refreshments in LICA Building foyer
- 10:30 - Professor Finn Lindgren, School of Mathematics, University of Edinburgh
- 11:30 - James Grant, STOR-i PhD student
- 12:00 - Lunch
- 13:00 - Professor Paul Harper, School of Mathematics, Cardiff University
- 14:00 - Ye Liu, STOR-i PhD Alumni
- 14:30 - Refreshment break
- 15:00 - Professor Qiwei Yao, Department of Statistics, London School of Economics
- 16:00 - Dr Steve King, Rolls Royce
- 16:30 - Talks finish
- 18:30 - Poster Session in the LICA building with wine reception and buffet
Day Two
09:30-13:00- LICA Building (Room no. A27, Building 4 on the campus map)
The STOR-i Doctoral Training Centre at Lancaster University is hosting the sixth annual conference with talks from key researchers from Statistics, Operational Research and Industry. Refreshments and lunch will take place in the LICA Building foyer. Talks will be held in LICA A27.
Itinerary
- 09:30 - Professor Giovanni Andreatta, Matematica Pura ed Applicata, Padova University
- 10:30 - Dr Michael Epitropakis, STOR-i Associated, Management School, Lancaster University
- 11:00 - Refreshment break
- 11:30 - Detlef Nauck, BT, Industry Speaker
- 12:00 - Katie Yates, STOR-i PhD Student
- 12:30 - Lunch
- 13:30 - Close
Abstracts
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2016 Annual Conference
Date
7-8 January 2016
Day One
10:00-16:30- LICA Building (Room no. A27, Building 4 on the campus map) (18:30-21:00- Evening poster presentation in the LICA building, A29, Building 4 on the campus map)
The STOR-i Doctoral Training Centre at Lancaster University is hosting the sixth annual conference with talks from key researchers from Statistics, Operational Research and Industry. Registration, refreshments and lunch will take place in the LICA Building foyer. Talks will be held in LICA A27.
Itinerary
- 10:00 - Registration and refreshments in LICA Building foyer (External speakers, external attendees and staff only)
- 10:30 - Pitu Mirchandani, School of Computing, Informatics, and Decision Systems Engineering, ASU
- 11:30 - Lisa Turner, STOR-i PhD student
- 12:00 - Lunch
- 13:00 - Jon Wakefield, Department of Biostatistics, University of Washington
- 14:00 - Alex Armstrong, Morgan Stanley (STOR-i PhD Alumni)
- 14:30 - Refreshment break
- 15:00 - Ivo Adan, Department of Industrial Engineering and Innovation Sciences, University of Technology, Eindhoven
- 16:00 - Steve Scott, Google
- 16:30 - Talks finish
18:30-21:00 Poster Session in the LICA building with a wine reception and buffet
Day Two
09:30-13:00- LICA Building (Room no. A27, Building 4 on the campus map)
The STOR-i Doctoral Training Centre at Lancaster University is hosting the sixth annual conference with talks from key researchers from Statistics, Operational Research and Industry. Refreshments and lunch will take place in the LICA Building foyer. Talks will be held in LICA A27.
Itinerary
- 09:30 - Stéphane Robin, Applied Mathematics and Informatics, Agro Paris Tech
- 10:30 - Tim Park, Shell (STOR-i PhD Alumni)
- 11:00 - Refreshment break
- 11:30 - Clym Stock-Williams, EON
- 12:00 - David Hofmeyr, STOR-i Research Fellow
- 12:30 - Lunch
- 13:30 - Close
Abstracts
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2015 Annual Conference
Date
8 January 2015
Itinerary - Day One
- 10:00 - Registration and refreshments in the breakout space, Management School (External speakers, external attendees and staff only)
- 10:30 - Arnoldo Frigessi, Statistics for Innovation, University of Oslo
- 11:30 - Kaylea Haynes, STOR-i PhD student
- 12:00 - Lunch
- 13:00 - Ian Dryden, School of Mathematical Sciences, University of Nottingham
- 14:00 - Hugo Winter, STOR-i PhD student
- 14:30 - Refreshment break
- 15:00 - Emanuele Ragnoli, IBM Research
- 15:30 - Horst W. Hamacher, Department of Mathematics, Technische Universitat Kaiserslautern
- 16:30 - Talks finish
- 18:30 - Poster Session in the LICA building with a wine reception and buffet
Itinerary - Day Two
- 09:30 - Kyle Lin, Naval Postgraduate School
- 10:30 - Jamie Fairbrother, STOR-i PhD student
- 11:00 - Refreshment break
- 11:30 - Ralph Mansson, DSTL
- 12:00 - Christian Rohrbeck, STOR-i PhD student
- 12:30 - Lunch
- 13:30 - Close
Abstracts
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2014 Annual Conference
Date
9 January 2014
Itinerary - Day One
- 11:30 - Registration and refreshments in the breakout area, Management School (External speakers, external attendees and staff only)
- 12:00 - Jim Berger, Duke University
- 13:00 - Buffet lunch
- 14:00 - David Hofmeyr, STOR-i PhD student
- 14:30 - Sanjay Mehrotra, Northwestern University
- 15:30 - Refreshment break
- 16:00 - Philip Jonathan, Shell
- 16:30 - Ivar Struijker Boudier, STOR-i PhD student
- 17:00 - STOR-i II
- 17:15 - Finish
- 18:30 - Poster Session in the LICA Building with a wine reception and buffet
Itinerary - Day Two
- 09:30 - Adrian Bowman, University of Glasgow
- 10:30 - Emma Ross, STOR-i PhD student
- 11:00 - Refreshment break
- 11:30 - Duncan Elliott, Office for National Statistics
- 12:00 - Chris Nemeth, STOR-i PhD student
- 12:30 - Lunch
- 13:30 - Peter Frazier, Cornell University
- 14:30 - Close
Abstracts
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2013 Annual Conference
Date
10 January 2013
Itinerary - Day One
- 12:00 - Keynote speech - Professor Edmund Burke, University of Stirling, UK
Problem Integration in Modern Airport Operations - 13:00 - Buffet lunch
- 14:10 - Professor Petros Dellaportas, Department of Statistics, Athens University of Economics and Business, Greece
Control variates for reversible Markov chains - 14:40 - Shreena Patel, STOR-i PhD student
Modelling customer heterogeneity in a customised selling environment - 15:00 - Refreshment break
- 15:30 - Paul Jennings, NNL
Is OR different in the Nuclear Industry? - 16:00 - Tim Park, STOR-i PhD student
Finding Direct and Indirect Links between Time Series using Partial Coherence - 18:30 - Poster Session at the Storey Gallery, Lancaster with a wine reception and hot buffet
Itinerary - Day Two
- 09:30 - Joerg Fliege, Centre of Operational Research, Management Sciences and Information Systems, University of Southampton, UK
Optimisation in Space: Problems occurring in Spacecraft Engineering - 10:00 - Saeideh Dehghan Nasiri, STOR-i PhD student
Compact formulations of the Steiner Travelling salesman problem - 10:20 - Dimitris Tasoulis, Winton Capital
New approaches to High Dimensional Data Clustering - 10:50 - James Edwards, STOR-i PhD student
Quantifying the Value of Exploration - 11:10 - Refreshment break
- 11:45 - Keynote speech, Professor Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland
Accurate directional inference for vector parameters - 12:45 - Lunch
- 14:00 - Close
- 12:00 - Keynote speech - Professor Edmund Burke, University of Stirling, UK
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2012 Annual Conference
Date
12 January 2012
Itinerary
- 9:30-10:00 - Registration and refreshments (Groundfloor, Postgraduate Statistics Centre)
- 10:00-10:15 - Welcome to STOR-i with Chair of STOR-i, Professor Kevin Glazebrook
- 10:15-11:00 - Optimal Detection of Changepoints with a Linear Computational Cost
Professor Paul Fearnhead, Department of Mathematics and Statistics, Lancaster University - 11:00-11:45 - A New Perspective On Feasibility Determination With Linear Constraints
Professor Roberto Szechtman, Naval Postgraduate School, US - 11:45- 12:30 - Poster session (STOR-i PhD students)
- 12:30- 1:15 - Buffet lunch
- 13:15-14:00 - Dynamic Modelling of Workflows
Dr Michael Lyons, BT - 14:00-14:45 - MBDA Guidance, Control and Navigation (GCN) Department: Overview of Activities
Dr Dave Vorley, MBDA (Bristol) - 14:45-15:00 - Refreshment break
- 15:00- 15:45 - Focused Information Criteria for Model Selection and Model Averaging
Professor Nils Hjort, University of Oslo, Norway - 15:45- 16:30- Stochastic Scheduling: A short history of index policies and some key recent developments
Professor Kevin Glazebrook, Department of Management Science, Lancaster University Management School
Abstracts
Research Workshops
STOR-i host a mixture of two different types of research workshops:
- Specialist workshops in methodological developments in Statistics and Operational Research and their interface
- Themed specialist knowledge exchange workshops on hot topics
Both types have a range of invited academic and industrial participants. These workshops contribute to the vibrancy of the research environment at Lancaster in Statistics and Operational Research. They provide an excellent opportunity to keep up-to-date with current internationally-leading research and to instigate collaborations with external academics and new industrial partners. The workshops are targeted at:
- Academic specialists
- STOR-i PhD students in cognate areas
- Other Lancaster University PhD students
- Statistic and OR PhD students from other UK universities
- Industry researchers and users
Past Workshops
This is a list of all the previous research workshops that have taken place in STOR-i.
Past Workshops Accordion Accordion
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Prediction + Optimization (STOR-i POP)
Prediction + Optimization 2020 (STOR-i POP)
Theme
Business analytics typically involves tasks of prediction and optimisation. They are usually conducted separately and are not well connected.
The aim of the workshop is to provide platform for exchange of ideas, raise awareness of recent developments and stimulate discussion in the intersection of the areas of prediction and optimisation.
Areas of the workshop
Methodological:
- Data-driven optimization
- Optimisation for machine learning and data science
- Forecasting for optimisation
Applications:
- Inventory and production planning
- Pricing
- Transportation
Workshop dates:
16th and 17th June 2022
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Time and Spatial Statistics Workshop 2020
Time and Spatial Statistics Workshop 2020 at STOR-i, Lancaster University, UK
The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Management Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on time series and spatial statistics.
The past decades have seen much methodological development in the time series and spatial statistics communities. This is driven both by the increasing volumes and complexity of spatiotemporal data being collected, and the growing number of application domains which benefit from such methods. Despite both time series and spatial statistics being based on ordered sets of observations and hence using analogous analysis techniques, there is often a lack of interaction and dialogue between the two communities.
The main aim of the workshop will be to focus on exploring synergies and overlaps between methodological approaches in time series, statistical signal processing, spatial statistics, and spatiotemporal statistics. There will be a particular focus on topics including:
- modelling nonstationarity and heterogeneity in time and space
- distributional properties of estimators, and techniques for their derivation
- issues surrounding computational scalability and tractability of methodology
- modelling irregular data types (e.g. data that are non-Gaussian, irregularly sampled, contaminated by outliers, observed as point processes)
Important Dates
Friday 17th April 2020: Abstract submission for online talk
Friday 1st May 2020: Registration deadline
Thursday 21st - Friday 22nd May 2020: Online Workshop
Confirmed Speakers
Finn Lindgren
University of Edinburgh, UK
Emma McCoy
Imperial College, London, UK
Edith Gabriel
Institut National de la Recherche Agronomique (INRAE), France
Joe Guinness
Cornell University, USA
Qiwei Yao
London School of Economics, UK
Abstract Submission
We invite researchers and practitioners to present their work on time and spatial statistics by submitting an abstract. Please send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by e-mail to stor-i-tss@lancaster.ac.uk by Friday 17th April 2020. All abstracts will be considered for online talks. We apologise if there is not enough capacity in the programme to accept all abstracts. Notifications will be made by Friday 24th April 2020.
Registration
Registration is free. To register, please email stor-i-tss@lancaster.ac.uk by Friday 1st May 2020. Due to possible capacity constraints on the online platform, we ask for a very short 50-word max blurb on why this workshop is of interest to you, which will allow us to restrict participation if necessary. We will confirm registrations by Friday 8th May 2020.
Programme
The workshop will be held on Thursday 21st and Friday 22nd May 2020. Delivered online, free registration.
Programme and Organising Committee
Adam Sykulski
Alex Gibberd
Rebecca Killick
Ben Taylor
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Statistical Signal Processing
Statistical Signal Processing (SSP) Workshop 2018 at STOR-i, Lancaster University, UK
The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Management Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on statistical signal processing.
The need for modern statistical signal processing techniques arises due to the ubiquity of vastly-observed signals across numerous applications. Such techniques commonly encompass aspects of time series analysis, machine learning, stochastic processes, optimisation, and many others. Furthermore, signals are commonly observed jointly, motivating the need for methodology that extends to multivariate and high-dimensional settings.
The main aim of the workshop will be to focus on challenges arising in non-parametric methods for non-stationary and high-dimensional signals, bringing together researchers from a number of distinct but related areas of signal processing to share ideas and foster dialogue.
Important Dates
Wednesday 28th February 2018: Abstract submission and student bursary request deadline
Friday 16th March 2018: registration deadline
Thursday 12th - Friday 13th April 2018: Workshop
Invited Speakers
Josiane Zerubia
INRIA, France
Andrew Walden
Imperial College, London, UK
Peter Schreier
Universität Paderborn, Germany
David Simpson
University of Southampton, UK
Peter Craigmile
Ohio State University, USA
Abstract Submission
We invite researchers and practitioners to present their work on statistical signal processing by submitting an abstract. Please send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by Wednesday 28th February 2018. We will aim to accommodate all the accepted abstracts as talks, but some may be accepted as posters.
The topics of the workshop include, but are not limited to, the following:
- multivariate and multiscale signals
- wavelet and Fourier-based methods
- signal processing on graphs and networks
- applications of statistical signal processing
Student bursaries
We have limited funding to provide bursaries to UK PhD students to enable them to attend the conference. The bursaries are likely to cover accommodation, travel and workshop fees. If you would like to apply please by 28th February 2018 with a description of your current research topic and why the workshop is important to you.
Registration
To register, please go to the registration page.
The registration fee is £100 to be paid by Friday 16th March 2018.
Registration for STOR-i students is free, but is required by Friday 9th March 2018.
The conference fee includes access to the workshop presentations, meals and the conference dinner, but you will need to book your own accommodation.
On-campus accommodation can be booked at Lancaster House Hotel or at Lancaster University Visitor Rooms. There are several accommodation options in Lancaster city centre.
Programme
The workshop will be held on Thursday 12th and Friday 13th April 2018.
The programme for the workshop is available here: SSP Workshop Programme
Programme and Organising Committee
Adam Sykulski
Matt Nunes
Rebecca Killick
Ed Cohen
Location
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF -
Multi-armed Bandits
Multi-armed Bandits
The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Management Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on multi-armed bandits. Lancaster University has a long tradition of research on this topic and several STOR-i PhD students have contributed to it.
The multi-armed bandit problem has become classic because of its extreme difficulty. Researchers from different fields, especially statistics, operational research, applied probability and computer science, have made theoretical contributions that in the recent years started gaining wider popularity in practice due to the huge modelling power of this problem.
This workshop will provide a forum for stimulating discussions, especially across the approaches that have developed independently of each other. The list of invited speakers includes recognised experts on reinforcement learning bandits, restless bandits, non-parametric bandits, Bayesian bandits, etc., covering both theoretical advances and applications in information technology, business & management, communications networks, health care, etc.
The topics of the workshop include, but are not limited to, the following:
- multi-armed bandit formulations: classic, adversarial, non-parametric, Bayesian, restless, stochastic, infinitely-armed, many-armed, arm-acquiring bandits, best-arm identification, etc.
- theoretical aspects of the exploration-exploitation trade-off in sequential experimental design
- optimality and convergence of randomised algorithms, index rules, and myopic policies
- characterisation, computation, approximation and learning of (near-)optimal policies
- applications of multi-armed bandit models in practice
We are grateful to the London Mathematical Society for additional support for this workshop, in particular for significantly enhanced support for UK PhD students.
Important Dates
- Friday 20th November 2015: Abstract submission and student fee-waiver request deadline
- Monday 14th December 2015: registration deadline
- Monday 11th - Tuesday 12 January 2016: Workshop
Invited Speakers
- Shipra Agrawal, Columbia University, USA - View Presentation (Agrawal)
- Donald A. Berry, MD Anderson Cancer Center, USA
- Alexandra Carpentier, University of Potsdam, Germany - View Presentation Carpentier
- Kevin Glazebrook, Lancaster University, UK - View Presentation Glazebrook
- Aurélien Garivier, Universite Toulouse, France - View Presentation Garivier
- Katja Hofmann, Microsoft Research, UK
- Michael N. Katehakis, Rutgers University, USA - View Presentation Katehakis
- Emilie Kaufmann, DYOGENE-INRIA, France - View Presentation Kaufmann
- Odalric Maillard, INRIA France
- Yevgeny Seldin, University of Copenhagen, Denmark
- Michal Valko, INRIA-Sequel, France - View Presentation Valko
- Sofia S. Villar, MRC Biostatistics Unit, UK - View Presentation Villar
Contributed Presentations
- Arnoud Den Boer - View Presentation DenBoer
- Hans Degroote - View Presentation Degroote
- James Edwards - View Presentation Edwards
- Andres Gyorgy - View Presentation Gyorgy
- Vladimir Novak - View Presentation Novak
- Faye Williamson - View Presentation Williamson
Abstract Submission
We invite researchers and practitioners to present their work on multi-armed bandits by submitting an abstract below. Please, send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by Friday 20th November 2015. We will aim at accommodating all the accepted abstracts as talks, but some may be accepted as posters.
Student bursaries
We have funding to support UK PhD students to attend the workshop. To apply by Friday 20th November 2015 with a description of your current research topic and why the workshop is important to you.
Registration
To register, please go to the registration page.
The registration fee is £100 to be paid by Monday 14th December. Registration for STOR-i students is free but is required by Monday 7th December. The conference fee includes access to the workshop presentations, meals and the conference dinner, but you will need to book your own accommodation.
On-campus accommodation can be booked at Lancaster House Hotel or at Lancaster University Visitor Rooms. There are several accommodation options in Lancaster city centre.
Programme
The talks will be held on Monday 11th (10:25 - 17:30) and Tuesday 12th January 2016 (9:30 - 17:35). The poster session will be held on Monday (18:00 - 19:30) followed by a workshop dinner.
Organisers
David Leslie, Steffen Grunewalder, Peter Jacko.
Location
For how to arrive, see the Programme (which also gives more details on the train disruptions between Manchester and Lancaster on the weekend 9-10 January). You can find further information here: http://www.lancaster.ac.uk/contact-and-getting-here/maps-and-travel/
Faculty of Arts & Social Sciences
Lancaster University
Lancaster
United Kingdom
LA1 4YF -
Nonstationary Multivariate Time Series
Nonstationary Multivariate Time Series
Analysis of nonstationary multivariate time series Workshop 2016 at STOR-i, Lancaster University, UK
The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Management Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on analysis of nonstationary multivariate time series. Lancaster University has a long tradition of research on this topic and several STOR-i PhD students have contributed to it.
Multivariate time series arise in many natural and industrial applications. These series are often high-dimensional in nature and exhibit complex temporal characteristics. Being able to analyse the structure and interplay between such series is key to understanding the dynamics of many important physical processes. Moreover, the availability of high frequency sources has underlined the need for efficient algorithms for analysis of time series in high-dimensional settings.
The main aim of the workshop is to bring together researchers from a number of distinct but related areas of time series analysis to share ideas and foster dialogue to tackle modern challenges in nonstationary multivariate time series analysis.
Important Dates
Friday 26th February 2016: Abstract submission and student bursary request deadline
Friday 18th March 2016: registration deadline
Thursday 14th - Friday 15th April 2016: Workshop
Invited Speakers
David Stoffer
University of Pittsburgh, USA
Hernando Ombao
University of California at Irvine, USA
Rainer Von Sachs
Universit ́e Catholique de Louvain, Belgium
Guy Nason
University of Bristol, UK
Sofia Olhelde
University College London, UK
Abstract Submission
We invite researchers and practitioners to present their work on nonstationary multivariate time series by submitting an abstract. Please send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by e-mail to stor-i-nsmvts@lancaster.ac.uk by Friday 26th February 2016. We will aim to accommodate all the accepted abstracts as talks, but some may be accepted as posters.
The topics of the workshop include, but are not limited to, the following:- multivariate time series modelling
- changepoint analysis
- efficient inference in online data streams
- analysis of networks observed over time
- applications of nonstationary multivariate time series in practice.
Student bursaries
We have limited funding to provide bursaries to UK PhD students to enable them to attend the conference. The bursaries are likely to cover accommodation, travel and workshop fees. If you would like to apply please email stor-i-nsmvts@lancaster.ac.uk by 26th February with a description of your current research topic and why the workshop is important to you.
Registration
To register, please to the registration page.
The registration fee is £100 to be paid by 18th March.
Registration for STOR-i students is free, but is required by Friday 11th March.
The conference fee includes access to the workshop presentations, meals and the conference dinner, but you will need to book your own accommodation.
On-campus accommodation can be booked at Lancaster House Hotel or at Lancaster University Visitor Rooms. There are several accommodation options in Lancaster city centre.Local Organising Committee
Matthew Nunes, Rebecca Killick, Idris Eckley, Lawrence Bardwell, Jamie-Leigh Chapman, Matt Ludkin.
Location
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF -
STOR-i Extremes Workshop
Multivariate and Spatial Extremes, with Environmental Applications
The STOR-i Centre for Doctoral Training will be hosting a workshop on Multivariate and Spatial Extremes at Lancaster University from 4-6th July 2016. As well as welcoming presentations on theoretical and methodological aspects, we are also hoping to have a number of talks on uses of extreme value theory in complex environmental applications.
Research into extreme value theory is well-established at Lancaster. Currently, the extremes group consists of three members of staff (Professor Jonathan Tawn, Dr Emma Eastoe and Dr Jenny Wadsworth), five STOR-i PhD students and one RA. We have strong links with a number of partners, both academic and industry.Important Dates
- End of April 2016: Student fee-waiver request deadline
- Mid-May 2016: Abstract submission deadline
- Beginning of June 2016: Deadline for registration and payment of registration fee
- July 4th-6th 2016: Workshop
Invited Speakers
- Simon Brown, UK Met Office
- Anthony Davison, Ecole Polytechnique Federale de Lausanne
- Theo Economou, University of Exeter
- Phil Jonathan, Shell
- Ben Marchant, British Geological Survey
- Thomas Opitz, INRA
- Anne Sabourin, Telecom Paris-Tech
- Johan Segers, Universite Catholique de Louvain
- Ben Shaby, Penn State University
- Jonathan Tawn, Lancaster University
Abstract Submission
Abstract submission for contributed talks has closed, but we continue to invite submissions for posters.
To submit your abstract, please send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by e-mail to stor-i-extremes@lancaster.ac.ukby the registration deadline of Friday 3 June.
Within the themes of multivariate and spatial extremes, some topics that we hope to cover include:
- Max-stable processes;
- Conditional extremes;
- Hierarchical models;
- Geostatistical-type models;
- Environmental applications of extremes: air pollution, climate models, river flows, wave heights, precipitation,...
We are particularly interested in novel applications, even if you haven't yet developed a fully-fledged modelling strategy.
Student Fee Waiver
We have limited funding to waive the workshop fees of UK PhD students. If you would like to apply for a fee waiver please email stor-i-extremes@lancaster.ac.uk by the end of April 2016 with the name of your supervisor(s), a description of your research topic and why the workshop would be beneficial to you.
Registration
The registration fee is £100 to be paid by Friday 3 June 2016.
The registration fee includes access to the workshop presentations, coffee breaks, lunches on Tuesday and Wednesday, and the workshop dinner on Tuesday evening.
Travel and accommodation details
Although a more detailed timetable will be available closer to the workshop, in order to help plan your travel arrangements please note that registration will be from at 13.00 on Monday 4th July and the workshop will close after lunch on Wednesday 6th July. Accommodation on-campus can be found at the Lancaster House Hotel, or through the university room booking service. There are a number of options in Lancaster city centre, including Lancaster Central Travelodge and the Kings Arms Hotel. The town centre is approximately 3 miles (5 km) from the university campus. Whilst it is possible to walk between the two, buses from the town centre to campus run frequently.
Organisers
Emma Eastoe, Jenny Wadsworth
Location
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF -
Decision Theory and Network Science
Decision Theory and Network Science: Methods and Applications
There is a wide array of problems in applied science, business analytics and industry that involve a decision-making process that takes into account network structure. The goal of the event is to encourage the exchange of ideas and seed collaboration among researchers developing methodology in the intersection of decision theory and networks Science, bringing together statistics and management science.
Date:18th of September, 2017
Location: A54 LT, PSC
Confirmed speakers:
- Michal Valko (Inria, France)
- Sergio Bacallado (University of Cambridge)
- Wolfram Wiesemann (Imperial College)
- Matthias Müller-Hannemann (University of Halle-Wittenberg)
- Matthew Nunes (Lancaster University).
Three more speakers will be added to the programme.
Local organisers:
- Simón Lunagómez (Department of Mathematics and Statistics)
- Marc Goerigk (Management Science)
Research Seminars
Attending research seminars is a fundamental part of life as an academic researcher. They provide:
- an opportunity for you to stay in touch with recent and cutting-edge research;
- a platform for showcasing your research;
- a chance to meet and collaborate with like-minded researchers.
STOR-i Forum
A series of informal weekly talks from STOR-i and STOR-i associated PhD students. These sessions are intended to inform other students and staff about current research projects at STOR-i.