Home > Department of Statistics

Department of Statistics

 

Department of Statistics
Columbia House
London School of Economics
Houghton Street
London
WC2A 2AE

 

Online query form|

 

 

BSc Queries

 +44 (0)20 7955 7650

 

MSc Queries

 +44 (0)20 7955 6879 

MSc Frequently Asked Questions
|

 

MPhil/PhD Queries

+44 (0)20 7955 7511
i.marshall@lse.ac.uk| (PhD enquiries)

 

Twitter|

Facebook|

facebookandtwitter1 

 

 

 

 

 
Welcome to the Department of Statistics at the London School of Economics & Political Science. The department enjoys a vibrant research environment and offers a comprehensive programme of undergraduate and postgraduate degrees in Statistics.
 LSErose
Events|

The Department of Statistics offers a comprehensive programme of seminars throughout the year, including the statistics seminars series, joint statistics and econometrics seminars and the London Mathematical Finance seminars. You can find further details here|, along with an archive of our past seminars and details of workshops, conferences and other special events.
 
Risk and Stochastics Conference 2015 - in honour of Professor Ragnar Norberg|
Royal Statistical Society, Wednesday 22 and Thursday 23 April 2015

This two-day conference celebrates the 70th birthday 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***|


***IN THE PLANNING STAGE***

Workshop on current challenges in financial mathematics and economics|
Monday 24 August 2015 to Friday 28 August 2015 (London)
A week-long series of workshops

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 effect needs to be carefully analysed. A representative list of interesting questions to study include:

a) How does individual investor's behaviour (e.g. posting buy/sell orders in electronic ex-changes) aggregate across the market to form liquidity?
b) In a financial system with highly interconnected banks, how does a single bank's liquidity shortage propagate to its counterparties and magnify to a system risk event?

On the other hand, rather than assuming that all market participants can be modelled by a representative agent, interaction among heterogeneous agents has became an important component to understand real markets. A considerable amount of e ort has been spent in understanding questions such as:

a) How does interaction between individuals manifest on a system level?
b) Do constrains on individual's actions reduce efficiency of the system?

Facing imperfections, good models must be robust, placing less emphasis on particular model assumptions which tend to be unrealistic in practical applications. Better understanding such issues is of strategic importance to maintain a healthy financial system, and are currently attracting considerable effect from researchers, industry practitioners, and also regulators.

To tackle financial modelling challenges as the ones described above, new mathematical tools are needed. To study liquidity effect, new results in queuing theory, self-excited point processes, and stochastic control theory have been developed. To model interacting agents, multi-dimensional backward stochastic di differential equations and mean-field games are actively studied. To obtain robust models, path-wise stochastic analysis has been enriched and martingale transport theory has been invented. Initial applications of these new mathematical tools are encouraging, and help to bring new insight and sometimes partial solutions to the aforementioned financial problems. However, the majority of the mathematical tools are still under development and their impact to a wide range of realistic financial problems still needs to be appreciated.

More information will be published soon. Please send any questions to Ian Marshall|.


Complex systems in time series|
Friday 4 and Saturday 5 December 2015 (London) 
Registration will open soon

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 conference 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.

Confirmed speakers: John Aston| (Cambridge); Marc Hallin| (ECARES); Eric D Kolaczyk| (Boston University); Wolfgang K Härdle| (Humboldt University); Olivier Ledoit| (University of Zurich); Patrick Wolfe| (UCL); Jeff Yao| (Hong Kong University). More speakers will be confirmed soon.

Please send any questions to Ian Marshall|.


Special conference in memory of Marc Yor at LPMA (Paris) in June 2015

Journées à la mémoire de Marc Yor, a special conference in memory of Professor Marc Yor|, who died on 9 January 2014, takes place in Paris on 3 to 5 June 2015, organised by the LPMA (Probabilities and Random Models Laboratory). Marc was a Visiting Professor in the Department of Statistics and an inspiration to all who knew him.

Please visit the conference website here|.

Please read an obituary of Marc, written by Hélyette Geman and Monique Jeanblanc, here|.


 
 
  StudyTop1
The department offers degree courses at undergraduate, taught postgraduate and research level.

Undergraduate programmes offer an opportunity to build on your mathematical skills and apply them to areas such as insurance, banking, finance and statistics.

The MSc programmes provide students with intensive training in statistics applicable to the social sciences, econometrics, finance and insurance.

The department welcomes applications for the MPhil/PhD in Statistics from suitably qualified candidates. Full details of departmental research interests are available on our Research pages.
 
 
The department has three undergraduate degrees that involve the applications of statistics to the social sciences and include a range of statistical and mathematical subjects.

BSc in Actuarial Science|
BSc in Business Mathematics and Statistics|
BSc Statistics with Finance|
  
Our taught postgraduate courses are based around lectures, with problem classes and computer workshops. Most courses are assessed by a two-hour exam in the summer term, although some contain an element of course work.

MSc in Statistics|
MSc in Statistics (Financial Statistics)|
MSc in Risk and Stochastics|
 
Research programmes are designed to produce professional social scientists, well versed in a range of advanced statistical techniques and methods, in addition to having an in-depth knowledge of a particular area.

MPhil/PhD Statistics|

Research

Research1

Research2

Research in Risk and Stochastics|
The current members of the Risk and Stochastics group are Beatrice Acciaio, Pauline Barrieu, Erik Baurdoux, Luciano Campi, Umut Cetin, Angelos Dassios, Kostas Kardaras and Hao Xing.


Research in Social Statistics|
The current members of the Social Statistics group are Wicher Bergsma, Sara Geneletti, Kostas Kalogeropoulos, Jouni Kuha, Irini Moustaki, Chris Skinner and Fiona Steele.



Research in Time Series
|
The current members of the Time Series group are Matteo Barigozzi, Piotr Fryzlewicz, Kostas Kalogeropoulos, Clifford Lam, Leonard Smith and Qiwei Yao