Previous STOR-i Conferences
You can find a list of the previous annual conferences below and links to further details for each:
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.
You can find a list of the previous annual conferences below and links to further details for each:
Thursday 11th & Friday 12th January 2020
Day 1 Itinerary
09:30- Registration and refreshments in Management School LT 2 & 3 breakout space
10:00- Paul Harper, Cardiff University
10:45- Hugo Winter, Moody's RMS, STOR-i Alumni
11:15- Christina Pagel, University College London
12:00- Lunch
13:00- Roberto Rossi, University of Edinburgh
13:45- Maddie Smith, STOR-i PhD student
14:00- Matthew Davison, STOR-i PhD student
14:15- Refreshment break
14:45- Niall Adams, Imperial College London
15:30- Rhian Davies, Jumping Rivers, STOR-i Alumni
16:00- Roland Langrock, Universitat Bielefeld
16:45- Talks finish
18:30-21:00 - Poster Session in Management School LT 2 & 3 breakout space with wine reception and buffet
Day 2 Itinerary & Talk Titles
09:30- Chris Dent, University of Edinburgh
10:15- Thomas Newman, STOR-i PhD student
10:30- Katie Howgate, STOR-i PhD student
10:45- Refreshment break
11:15- Carla Pinkney, STOR-i PhD student
11:30- Ben Lowery, STOR-i PhD student
11:45- Ruth Misener, Imperial College London
12:30- Lunch
13:30- Close
Thursday 9th & Friday 10th January 2020
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.
Thursday 10th & Friday 11th January 2019
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.
11-12 January 2018
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.
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.
12-13 January 2017
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.
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.
7-8 January 2016
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.
18:30-21:00 Poster Session in the LICA building with a wine reception and buffet
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.
8 January 2015
9 January 2014
10 January 2013
12 January 2012
STOR-i host a mixture of two different types of research workshops:
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:
This is a list of all the previous research workshops that have taken place in STOR-i.
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.
Methodological:
Applications:
16th and 17th June 2022
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:
Friday 17th April 2020: Abstract submission for online talk
Friday 1st May 2020: Registration deadline
Thursday 21st - Friday 22nd May 2020: Online Workshop
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
The workshop will be held on Thursday 21st and Friday 22nd May 2020. Delivered online, free registration.
Adam Sykulski
Alex Gibberd
Rebecca Killick
Ben Taylor
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.
Wednesday 28th February 2018: Abstract submission and student bursary request deadline
Friday 16th March 2018: registration deadline
Thursday 12th - Friday 13th April 2018: Workshop
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
The workshop will be held on Thursday 12th and Friday 13th April 2018.
The programme for the workshop is available here: SSP Workshop Programme
Adam Sykulski
Matt Nunes
Rebecca Killick
Ed Cohen
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF
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:
We are grateful to the London Mathematical Society for additional support for this workshop, in particular for significantly enhanced support for UK PhD students.
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.
David Leslie, Steffen Grunewalder, Peter Jacko.
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
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.
Friday 26th February 2016: Abstract submission and student bursary request deadline
Friday 18th March 2016: registration deadline
Thursday 14th - Friday 15th April 2016: Workshop
University of Pittsburgh, USA
University of California at Irvine, USA
Universit ́e Catholique de Louvain, Belgium
University of Bristol, UK
University College London, UK
Matthew Nunes, Rebecca Killick, Idris Eckley, Lawrence Bardwell, Jamie-Leigh Chapman, Matt Ludkin.
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF
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.
Emma Eastoe, Jenny Wadsworth
Postgraduate Statistics Centre
Lancaster University
Lancaster
United Kingdom
LA1 4YF
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.
Three more speakers will be added to the programme.
Attending research seminars is a fundamental part of life as an academic researcher. They provide:
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.