Ajay Jasra

 

Associate Professor (tenure track), National University of Singapore.

 

THIS PAGE IS NO LONGER UPDATED (as of 21/04/12). PLEASE GOTO MY NUS WEBPAGE: http://www.stat.nus.edu.sg/~staja/.

 

Brief History

 

I am associate professor (tenure track) at the National University of Singapore. I was lecturer in statistics at Imperial College London. Before that I was lecturer at the Institute of Statistical Mathematics and prior Chapman fellow of Mathematics at Imperial College London. Previous to that position I was a research associate in the STELLA group at Cambridge University (with Arnaud Doucet) and research associate at the Department of Statistics, Oxford University (with Chris Holmes). My Ph.D. was at the Mathematics department, Imperial College, with Chris Holmes and Dave Stephens.

 

Degrees, Positions & Editorial Work

 

Since 01/2012-: Associate Professor (Tenure Track), Statistics, National University of Singapore, SG.

09/2008-12/2011: Lecturer, Mathematics, Imperial College London.

03/2008-09/2008: Lecturer, Institute of Statistical Mathematics, JP.

10/2006-03/2008: Chapman Fellow of Mathematics, Imperial College London.

02/2006-10/2006: Research Associate, Department of Engineering, University of Cambridge.

10/2005-02/2006: Research Associate, Department of Statistics, University of Oxford.

      10/2005: Ph.D. degree, Imperial College London. Thesis: `Bayesian Inference for Mixture

               Models via Monte Carlo Computation’. Examiners: Christian Robert and Nick Heard.     

 

I have also been a short-term academic visitor (Jul-Sept, 2007) at the Institute of Statistical Mathematics, Tokyo JP. I have also been honorary research fellow and frequent visitor to the, Statistics Group, University of Bristol (Sept-Dec, 2010).  I will be a visitor at the Statistics Group, University of Bristol and the Department of Statistical Science, University College London (May-July 2012).

 

I am currently associate editor at Statistics and Computing (2011-) and American Journal of Algorithms and Computing (2012-).

 

Research Interests

 

Monte Carlo methods.

 

Bayesian Statistics.

 

Markov chain theory.

 

Computational finance.

 

Publications: Journals

 

(2012) Del Moral, P., Doucet, A. and Jasra, A. An Adaptive Sequential Monte Carlo Method for Approximate Bayesian Computation. Code. Statistics and Computing (to appear).

 

(2012) Jasra, A., Singh, S, Martin, J and McCoy E. Filtering via ABC, Statistics and Computing (to appear).

 

(2012) Whiteley, N., Kantas, N. and Jasra, A. Linear variance bounds for particle approximations of time homogeneous Feynman-Kac formulae. Stochastic Processes and their Applications.

 

(2012) Del Moral, P., Doucet, A. and Jasra, A. On Adaptive Resampling Procedures for SMC Methods, Bernoulli.

 

(2011) Jasra, A, De Iorio, M. and Chadeau-Hyam M The Time Machine. Proc. Roy. Soc. A. Technical Report.

 

(2011) Andrieu, C, Jasra, A, Doucet, A and Del Moral, P, On Non-Linear Markov chain Monte Carlo, Bernoulli.

 

(2011) Jasra, A. and Holmes CC. Stochastic Boosting Algorithms, Statistics and Computing.

 

(2011) Jasra, A. and Del Moral, P. SMC for option pricing, Stochastic Analysis and Applications.

 

(2011) Jasra, A. Stephens, DA, Doucet, A, and Tsagaris, T., Inference for Levy driven SV Models, Scand. J. Statist.

 

(2009) Jasra, A. and Doucet, A. SMC Methods for Diffusions, Proc. Roy. Soc. A.

 

(2009) Holmes, CC and Jasra, A. Antithetic Methods for Gibbs Samplers, J. Comp. Graph Stat.

 

(2009) Pei, T., Jasra, A., Hand D. J., Zhu, A. and Zhou, C. DECODE: a new method for discovering clusters of different densities in spatial data, Data Mining and Knowledge Discovery.

 

(2008) Jasra, A, and Doucet, A, Stability of Sequential Monte Carlo Samplers. Statistics and Probability Letters.

 

(2008) Andrieu, C, Jasra, A, Doucet, A and Del Moral, P, A note on the convergence of the Equi-Energy Sampler, Stochastic Analysis and Applications.

 

(2008) Jasra, A, Doucet, A, Stephens, DA and Holmes, CC, Interacting SMC Samplers, Comput. Stat. and Data Analy.

 

(2008) Jasra, A, and Yang, C, A regeneration proof of the CLT for uniformly ergodic Markov chains, Statistics and Probability Letters.

 

(2007) Jasra, A, Stephens, DA, and Holmes, CC Population-based reversible Jump MCMC, Biometrika.

 

(2007) Jasra, A, Stephens DA and Holmes, CC, On population-based simulation for static inferenceStatistics and Computing.

 

(2006) Jasra, A, Stephens, DA, Gallagher, KL and Holmes, CC, Bayesian Mixture Modelling in Geochronology via Markov chain Monte Carlo, Mathematical Geology.

 

(2006) Del Moral, P, Doucet, A and Jasra, A, Sequential Monte Carlo Samplers, Journal of the Royal Statistical Society Series B.

A related note is available here.

 

(2005) Jasra A, Holmes CC, and Stephens DA, MCMC methods and the label switching problem in Bayesian mixture modelling, Statistical Science.

 

Publications: Conference/ In Books/ Discussions

 

(2012) Barthelme’ S., Chopin, N., Jasra A. and Singh, S. Comments on the paper of Fearnhead & Prangle.

(Thanks to Christian Robert for producing the linked document!), JRSSB (to appear).

 

(2012) Jasra, A. Comments on the paper of Fearnhead & Prangle. JRSSB (to appear).

 

(2011) Jasra, A. & Singh, S. Comments on the paper of Girolami & Calderhead, JRSSB.

 

(2007) Hoffman, M., Doucet, A. De Freitas, N. and Jasra, A. Bayesian Policy Learning with Trans-Dimensional MCMC, NIPS.

 

(2007) Andrieu, C, Jasra, A, Doucet, A and Del Moral, P, Convergence of the Equi-Energy Sampler,

ESIAM Proc.

 

(2007) Andrieu, C, Jasra, A, Doucet, A and Del Moral, P, Non-Linear Markov chain Monte Carlo,

ESIAM Proc.

 

(2006) Gallagher, KL, Jasra, A, Stephens, DA and Holmes, CC, A new approach to mixture modelling for geochronology,

16th Annual V M Goldschmidt Conference.

 

(2006) Doucet, A, Montesano, L and Jasra, A, Optimal filtering for partially observed point processes, ICASSP.

 

(2006) Del Moral, P, Doucet, A and Jasra, A, Sequential Monte Carlo for Bayesian Computation, Bayesian Statistics 8.

 

 

Technical Reports

 

These are all submitted (or about to be) preprints.

 

(2012) Ehrlich, E., Jasra, A., Kantas, N. and Singh, S. S. Online static parameter estimation for ABC approximations of HMMs. To be submitted.

 

(2012) Cozzini, A., Jasra, A. and Montana G. A Bayesian Mixture of Lasso Regressions with t-Errors. To be submitted.

 

(2012) Persing A. and Jasra A. A note on the estimate of the normalizing constant of Feynman-Kac formula ****. This paper is only available by request.

 

(2011) Beskos, A., Crisan D., Jasra, A. and Whiteley, N. Error bounds and normalizing constants for sequential Monte Carlo in high dimensions.

 

(2011) Cozzini, A., Jasra, A. and Montana, G. Robust model-based clustering with gene ranking.

 

(2011) Beskos, A., Crisan, D. and Jasra, A. On the stability of sequential Monte Carlo methods in high dimensions.

 

(2011) Jasra, A. and Kantas N. Bayesian parameter inference for partially observed stopped processes.

 

(2011) Martin, J., Jasra, A. and McCoy, E. Inference for a class of partially observed point process.

 

(2010) Tsagaris, T, Jasra, A and Adams, N. Robust and Adaptive algorithms for online portfolio selection.

 

(2010) Dean, T., Singh, S., Jasra, A. and Peters, G. Parameter Estimation for Hidden Markov Models with Intractable Likelihoods.

 

 

Collaborators

 

Christophe Andrieu (University of Bristol, Statistics).

Simon Barthelme’ (Berlin University of Technology)

Alex Beskos (University College London, Statistics).

Marc Chadeau (Imperial College London, School of Public Health).

Nicolas Chopin (CREST-ENSAE).

Dan Crisan (Imperial College London, Mathematics).

Tom Dean (DPFM)

Pierre Del Moral (Universite’ Bordeaux, Mathematics).

Maria De Iorio (University College London, Statistics).

Arnaud Doucet (University of Oxford, Statistics).

Chris Holmes (University of Oxford, Statistics).

Nikolas Kantas (Imperial College London, Engineering).

Gareth Peters (UNSW, Maths and Statistics)

Sumeet Singh (University of Cambridge, Engineering).

Dave Stephens (McGill University, Statistics).

Theo Tsagaris (Tudor Captial).

Nick Whiteley (University of Bristol, Statistics).

 

In addition, I also co-supervise/co-supervised PhD students with:

 

L. Bottolo (Imperial College London, Statistics)

E. McCoy (Imperial College London, Statistics)

G. Montana (Imperial College London, Statistics)

D. Nott (NUS, Statistics)

C. Yau (Imperial College London, Statistics)

 

Talks

 

McGill University April 2011

 

 

Research Students and Post-Docs

 

Post-Docs:

 

Pierre Jacob current PhD student of Christian Robert will join NUS from October 2012.

 

Research Students:

 

J. Wang (NUS, 2012-Present). Joint with D. Nott.

 

A. Persing (IC, 2011-Present). Joint with A. Doucet, D. Crisan and L. Bottolo.

 

X. Zhang (IC, 2011-Present). Joint with C. Yau.

 

E. Ehrlich (IC, 2011-Present). Joint with N. Kantas.

 

J. Martin (IC, 2008-Present). Joint with E. McCoy. Thesis: Some New Results in Sequential Monte Carlo, to be submitted. Will be post-doc at UNSW from summer 2012. Examiners: A. Beskos & A. Young.

 

A. Cozzini (IC, 2010-2012) PhD. Joint with G. Montana. Thesis: Supervised and unsupervised model based clustering with variable selection. Examiners: C. C. Holmes & E. McCoy.

     

C. Oduneye (IC, 2010-2011) PhD. Joint with D. Stephens.

Thesis: Credit Modelling:  Generating Spread Dynamics with Intensities and Creating Dependence with Copulas. Head of EM Credit Trading at an Investment bank in London. Examiners: A. Mijatovic, P. Dellaportas & N. Adams.

 

M. Bottone (IC, 2009-2010) MPhil. Joint with D. Stephens.

Thesis: Stochastic Models for Financial Information Flows.

Examiners: J. Griffin & E. McCoy.

 

I. Shiekh (IC, 2008-2010) PhD. Joint with E. McCoy.

Thesis: Modelling Power Prices. Energy analyst in London.

Examiners: P. Dellaportas & A. Young.

 

 

Teaching

 

LTCC

 

Sequential Monte Carlo Methods.

 

NUS

 

From January 2012 I will be teaching ST5223 Statistical Models: Theory and Applications. The notes are available here. The non-assessed problem sheets are here:

 

Linear Models

 

Generalized Linear Models

 

Solutions:

 

Linear Models

 

Generalized Linear Models. This features the solution of the normal-normal result discussed on 9/4/12.

 

Assessment:

 

The first sheet is here and was due in on Monday February 27th, by 1700. Solutions.

 

The second sheet is here and was due in on Monday March 26th, by 1700. This is the associated data. A sample report.

 

Imperial College London

 

I taught M3S4\M4S4 Applied probability. The notes are available here.

 

I taught M3S9\M4S9 Stochastic Simulation. The notes are available here.

 

 

Contact Details

 

Office 97C, Level 5, Block S16

Department of Statistics and Applied Probability

National University of Singapore

6 Science Drive 2,

Singapore, 117546

e-mail: staja@nus.edu.sg

phone: (+65) 66011410

 

 

 

 

 

 

 

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