Here you will find details of our forthcoming and past special events and conferences. If you require any further information on this, please feel free to contact Events.
Risk and Stochastics Conference 2015
Wednesday 22 and Thursday 23 April 2015
This conference celebrates the 70th year of Professor Ragnar Norberg and acknowledges his academic achievements; in particular, his legacy at LSE, which is primarily but not solely due to the Risk and Stochastics enterprise, which he was instrumental in founding and which has conspicuously placed the School on the world map in the areas of modern actuarial and financial mathematics and their interface.
Please view the conference website here.
*** REGISTRATION IS NOW OPEN ***
There is no conference fee but registration is essential.
IMPORTANT NOTICE: If you have registered to attend this conference using EShop but have not received an email from our research administrator Ian Marshall, please contact him at this address: email@example.com.
Greek Stochastics Meeting \eta (Sequential and On-line Learning)
Saturday 11 to Monday 13 July 2015
The seventh edition of the Greek Stochastics meeting will take place in Chania, Crete, Greece, on 11-13 July 2015. The meeting's primary aim is to facilitate a broad discussion of current research themes related to Sequential and On-line Learning. It will consist of three short courses by Gabor Lugosi (Universitat Pompeu Fabra), Philip Dawid (University of Cambridge) and Nicolas Chopin (ENSAE, Paris) -- see below for more information. There will also be a few contributed talks and poster presentations.
The meeting will take place at the Mediterranean Agronomic Institute of Chania.
Please visit the meeting website here.
Current challenges in financial mathematics and economics
Monday 24 August 2015 to Friday 28 August 2015
A week-long series of workshops
Registration will open on 27 April 2015
The recent and on-going financial crisis motivates a scrutinised study in the field of Financial Mathematics. In order to obtain better models, imperfections and complexity of real financial markets must be taken into account. Rather than assuming that arbitrary quantities of assets can be traded without impacting the market, liquidity risk needs to be carefully analysed.
Facing imperfections, good models must be robust, placing less emphasis on particular model assumptions which tend to be unrealistic in practical applications. A better understanding of such issues is of strategic importance to maintain a healthy financial system, and is currently attracting considerable interest from researchers, industry practitioners, as well as regulators.
Any model of liquidity risk will be incomplete without a detailed analysis of the dynamics of supply and demand and the causes of their imbalance. In particular it is important to understand how this imbalance evolve in time in an equilibrium framework where strategic agents trade to maximise their utility. In order to analyse interacting, possibly heterogeneous, agents, one often needs a diverse set of tools from filtering theory, multi-dimensional backward stochastic differential equations and mean-field games.
Recent years have also witnessed substantial developments in path-wise stochastic analysis and martingale transport theory. These results have found applications in obtaining robust financial models for derivative pricing. The aim of this workshop is to bring together researchers to discuss the latest developments in three aforementioned themes: liquidity, mean field games, and robust finance.
Please send any questions to Ian Marshall.
Complex Systems in Time Series
Friday 4 and Saturday 5 December 2015
***REGISTRATION IS NOW OPEN***
Complex systems can be observed from complex social networks and its evolution to transportation and electric power generation; from physical flow of fluids to neurological circuits in our brains; from spatio-temporal dependence of macroeconomic and financial; time series to the spread of disease. Understanding any patterns and providing good forecasts in these systems is of paramount importance in decision or policy making. Since data involved is usually high dimensional in nature and dependence among variables can be strong, techniques in handling such data are all evolving to adapt to the new challenges. New research in this direction includes temporal network analysis, statistical and machine learning, parametric and nonparametric inferences and dimension reduction in stationary and non-stationary time series.
The aim of this two-day workshop is to bring together expertise in these areas to create possible new research opportunities. Researchers from relevant scientific fields can also gain valuable information on new data analytics.
Please send any questions to Ian Marshall.
Greek Stochastics Meeting (Scientific workshop on networks)
Athens, 20-22 December 2014
The sixth edition of the Greek Stochastics meeting will take place in Athens, Greece, on December 20-22, 2014. The meeting's primary aim is to facilitate a broad discussion of current research themes related to Networks. It will consist of three short courses by Remco van der Hofstad (Eindhoven University of Technology), Christian Brownlees (Universitat Pompeu Fabra) and Patrick Wolfe (University College London); see below for more information. There will also be a few contributed talks and poster presentations.
More details can be found on the meeting website here.
Dr Kostas Kalogeropoulos of the Department of Statistics is a member of the organising/scientific committee.
Cross-national surveys: methods of design and analysis
Monday 15 December 2014
Cross-national surveys such as the European Social Survey (ESS) are one of the most important resources of comparative social science. Their design and analysis raises many distinctive methodological challenges, especially ones related to questions of comparison and comparability between countries. This one-day workshop examines the state of the art and recent developments in the design and statistical analysis of cross-national surveys. The topics covered include critical steps in the design and implementation of such surveys, methodological innovation in the ESS, cross-national equivalence of measurement in survey questions, modelling of survey nonresponse across countries, and statistical modelling of cross-national survey data.
Please view the workshop website here.
Nonlinear time series analysis - thresholding and beyond: a conference in honour of Professor Howell Tong to celebrate his 70th birthday
Friday 19 and Saturday 20 September 2014
On the occasion of Professor Howell Tong's 70th birthday, LSE hosted this conference to celebrate the research achievement and the applications in nonlinear time series and related areas by bringing together experts, scholars and young researchers from around the world.
Professor Tong has made pioneering contributions in nonlinear time series analysis. His work on threshold models has had lasting influence, both on theory and application.
Please view the conference website here.
Methods for Longitudinal Data Analysis in the Social Sciences
Monday 8 September 2014 (followed by drinks reception and buffet dinner)
This event was sponsored by the LEMMA node of the ESRC National Centre of Research Methods, and is organised by Fiona Steele (LSE) and Paul Clarke (University of Essex). Please view the conference website here.
Risk and Stochastics Conference 2014: High profile speakers from the UK and overseas presented current advances in the areas of insurance, financial mathematics, and their interface at the Risk and Stochastics 2014 conference in the New Theatre on 24 and 25 April 2014. Further information can be viewed here.
The 2013 Social Statistics workshop on Recent advances in the analysis of categorical and count data took place on Thursday 12 December 2013. You can access the full presentations here.
The fifth edition of the Greek Stochastics meeting took place in Kalamata, Greece, on 6 to 8 July 2013. The primary aim of the meeting was to facilitate a broad discussion of current research themes related to jump processes: probability, statistical inference and financial modelling. It consisted of four short courses by Mathieu Rosenberg (Universite Pierre et Marie Curie, Paris), Aleksander Mijatovic (Imperial College London), Gareth Roberts (University of Warwick) and Nicholas Polson (Chicago Booth School of Business), as well as contributed talks and poster presentations. Dr Kostas Kalogeropoulos was a member of the organising and scientific committee and the Department of Statistics was pleased to add its support to this event.
The fourth edition of the Greek Stochastics Meeting took place in Kalamata, Greece, on 25 to 28 August 2012. The meeting's primary aim was to facilitate a broad discussion of current research themes related to Inference for Dynamical Systems. Dr Kostas Kalogeropoulos was a member of the organising and scientific committee and the Department of Statistics was pleased to add its support to this event.
Professor Albert Nikolayevich Shiryaev from the Steklov Mathematical Institute of the Russian Academy of Sciences gave a special programme of six two-hour lectures at LSE on 24, 26, 30 and 31 January and 6 and 7 February 2012 on specific topics of stochastic calculus and its methods.
Conference Honouring the scientific achievements of Professor emeritus David J Bartholomew
This special two-day conference took place on 12 and 13 December 2011 in the Hong Kong Theatre (Clement House) at LSE.
Professor C. R. Rao gave a seminar on Learning from numbers to generate new knowledge in room NAB 1.04 in the New Academic Buidling on Tuesday 28 June 2011.
C. R. Rao is emeritus professor at Penn State University and research professor at the University of Buffalo. He has been awarded the Guy Medal in Gold by the Royal Statistical Society in 2011. An abstract of the talk is available here.
Professor David Spiegelhalter gave an LSE Public Lecture entitled Trying to quantify uncertainty on 17 November 2010.
A podcast of this event is available to listen to via this link
David Spiegelhalter is Winton Professor of the Public Understanding of Risk at the University of Cambridge, as well as senior scientist in the MRC Biostatistics Unit.