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i-like: Intractable Likelihood - Home

An EPSRC-funded research project into modern statistical methods for analysing complex models and big data. This is a collaboration between the universities of Warwick, Bristol, Lancaster and Oxford.

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i-like: Intractable Likelihood - Home | i-like.org.uk Reviews
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An EPSRC-funded research project into modern statistical methods for analysing complex models and big data. This is a collaboration between the universities of Warwick, Bristol, Lancaster and Oxford.
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1 Likelihood
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3 Computational Statistics
4 MCMC
5 ABC
6 Likelihood-Free
7 Indirect Inference
8 Composite Likelihood
9 Pseudo Likelihood
10 Pseudo Marginal Algorithm
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i-like: Intractable Likelihood - Home | i-like.org.uk Reviews

https://i-like.org.uk

An EPSRC-funded research project into modern statistical methods for analysing complex models and big data. This is a collaboration between the universities of Warwick, Bristol, Lancaster and Oxford.

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1

Publications - i-like: Intractable Likelihood

http://www.i-like.org.uk/publications.html

Gero Walter, Louis Aslett. Frank Coolen. 2017. Bayesian nonparametric system reliability using sets of priors. International Journal of Approximate Reasoning, 80, 67-88. Cristiano Varin, Manuela Cattelan and David Firth. 2016 Statistical modelling of citation exchange between statistics journals (with discussion). Journal of the Royal Statistical Society A, 179(1):1-63. Lawrence Bardwell and Paul Fearnhead. 2016 Bayesian detection of abnormal segments in multiple time series. Chris Nemeth, Paul Fearnhead.

2

Recruitment - i-like: Intractable Likelihood

http://www.i-like.org.uk/recruitment.html

Up to two postdoctoral positions based at the University of Warwick are now being advertised. These will have fixed term contracts for 20 months. Salaries will be in the range £28,982 - £37,768 pa. The closing date is 30th September 2016. For more details see the advertisement. Is funded by the first ever EPSRC programme grant in Statistics. We believe this provides a unique postdoc opportunity for talented young statistical researchers with an interest in collaborative research. Create a free website.

3

Launch Day: 31st January 2013 - i-like: Intractable Likelihood

http://www.i-like.org.uk/launch-day-31st-january-2013.html

31 January 2013, 2. Oxford Centre for Gene Function (Dept. Statistics, Oxford). 215pm Gareth Roberts (Warwick): Retrospective Simulation. 245pm Paul Fearnhead (Lancaster): ABC for Big Data. 345pm Chris Holmes (Oxford): Methods for Big Data in Medical Genomics. 415pm David Firth (Warwick): Composite Likelihood Methods. 500pm Christophe Andrieu (Bristol): Adaptive Monte Carlo methods. Create a free website. Create your own free website. Start your own free website.

4

i-like Workshop, 20th & 21st March 2014, Oxford - i-like: Intractable Likelihood

http://www.i-like.org.uk/i-like-workshop-oxford.html

The computational statistics revolution of the 1990s provided powerful methodology for carrying out likelihood-based inference, including Markov chain Monte Carlo methods, the EM algorithm, many associated optimisation techniques for likelihoods, and Sequential Monte Carlo methods. Although these methods have been and are highly successful in making likelihood-based inference accessible to a wide range of problems, we now have a far better understanding of their limitations, for example in high-dimension...

5

What is i-Like? - i-like: Intractable Likelihood

http://www.i-like.org.uk/what-is-i-like.html

The planned research of I-Like is based on extending and combining a number of promising recent ideas within statistics, and harnessing the power of modern multi-core computing :. Pseudo marginal computations and particle MCMC. Composite and pseudo likelihoods. Simulation and inference for intractable models. Modern many-core computer architecture. For a brief introduction to each of these areas, or see Publications. For a list of key papers. Create a free website. Create your own free website.

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i-like: Intractable Likelihood - Home

A £2.4M EPSRC programme grant, i-like. Aims to tackle some of the most important statistical challenges that arise across many modern day applications. It is led by Gareth Roberts. Warwick), and involves Christophe Andrieu. Bristol), Paul Fearnhead. Lancaster), David Firth. Warwick) and Chris Holmes. Oxford). See What is i-like? Li, W and Fearnhead, P. (2015). Behaviour of ABC for big data. OLD Ne . We are advertising a two-year PDRA position in Bristol. Closing date 11th June 2015. Create a free website.

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