Advanced Monte Carlo Methods for Complex Inference Problems

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Created: 2014-04-25 12:48
Institution: Isaac Newton Institute for Mathematical Sciences
Editors' group: SMS Editors group for the Newton Institute
Description: In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance and Population genetics. In a wide variety of these applications, the stochastic models devised to realistically represent the data generating processes are very high dimensional and the only computationally feasible and accurate way to perform statistical inference is with Monte Carlo.

The focus of this programme is on recent innovations in the field of Monte Carlo methods for inference in complex and intractable statistical problems. This programme will bring together researchers from a broad base, for the first time since 2009, to promote discussion and development of this important and rapidly advancing cross-disciplinary area. It will leverage on the two very successful past programmes which were the INI Programme on Stochastic Computation in the Biological Sciences (23 October - 15 December 2006) and the SAMSI programme on Sequential Monte Carlo (SMC) Methods (September 2008 to August 2009), by taking up the following research threads that have genuinely enthused the wider community of research and applied statisticians over the past couple of years: Approximate Bayesian Computation; SMC and Markov Chain Monte Carlo and their integration; and recent theoretical advancements underpinning these areas.

This programme will also hold a workshop in the first week covering the two major themes of this proposal to launch the 4-week programme. The workshop will serve as a catalyst for the remaining 3 weeks of intensive research and aims to cover the following specific areas:

ABC: new applications, methodology and theory
SMC/MCMC for high dimensional computation
The workshop will also have an introductory element to it, aimed at acquainting postgraduate students and postdoctoral researchers with the subject area. Details to follow soon.
 

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A nested particle filter for online Bayesian parameter estimation in state-space systems


   48 views

Miguez, J (Universidad Carlos III de Madrid)
Wednesday 30 April 2014, 11:30-12:30

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 7 May 2014


ABC methods for Bayesian model choice


   59 views

Marin, J-M (Université Montpellier 2)
Wednesday 23 April 2014, 09:15-10:15

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 25 Apr 2014


Acyclic Monte Carlo: where sequential Monte Carlo meets renormalisation


   37 views

Kominiarczuk, J (University of Bristol)
Thursday 15 May 2014, 13:30-14:30

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 16 May 2014


Adaptive delayed-acceptance pseudo-marginal random walk Metropolis


   47 views

Sherlock, C (Lancaster University)
Wednesday 23 April 2014, 14:55-15:30

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Approximate Bayesian Inference for Stochastic Processes


   55 views

Stumpf, M (Imperial College London)
Friday 25 April 2014, 09:50-10:25

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 29 Apr 2014


Bayesian inference for sparsely observed diffusions


   38 views

Golightly, A (Newcastle University)
Thursday 24 April 2014, 11:05-11:40

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Bayesian Uncertainty Quantification for Differential Equations


   54 views

Girolami, M (University of Warwick)
Tuesday 13 May 2014, 10:00-11:00

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 16 May 2014


Establishing some order amongst exact approximation MCMCs


   39 views

Vihola, MS (University of Jyväskylä)
Wednesday 23 April 2014, 11:05-11:40

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Exact approximations


   88 views

Andrieu, C (University of Bristol)
Tuesday 22 April 2014, 09:15-10:15

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 29 Apr 2014


Generalised Particle Filters with Gaussian Mixtures


   51 views

Li, K (Uppsala University)
Friday 25 April 2014, 11:50-12:25

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 29 Apr 2014


Identifiability conditions for partially-observed Markov chains


   50 views

Douc, R (Telecom SudParis)
Wednesday 23 April 2014, 15:50-16:25

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 25 Apr 2014


Lazy ABC


   41 views

Prangle, D (University of Reading)
Thursday 24 April 2014, 14:20-14:55

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 25 Apr 2014


Locally adaptive Monte Carlo methods


   63 views

Lee, A (University of Warwick)
Tuesday 22 April 2014, 15:50-16:25

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


On the uniform ergodicity of the particle Gibbs sampler


   46 views

Moulines, E (Télécom ParisTech)
Tuesday 22 April 2014, 11:05-11:40

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Optimal filtering and the dual process


   35 views

Papaspiliopoulos, O (Institució Catalana de Recerca i Estudis Avançats (ICREA))
Thursday 24 April 2014, 16:25-17:00

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Parallel Markov Chain Monte Carlo


   43 views

Schmidler, S (Duke University)
Thursday 24 April 2014, 14:55-15:30

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Particle filtering subject to interaction constraints


   74 views

Whiteley, NP (University of Bristol)
Tuesday 22 April 2014, 16:25-17:00

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


Particle filters and curse of dimensionality


   98 views

Rebeschini, P (Princeton University)
Thursday 24 April 2014, 11:40-12:15

Collection: Advanced Monte Carlo Methods for Complex Inference Problems

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 28 Apr 2014


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