Imperial College London
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ProfessorRobertoTrotta

Faculty of Natural Sciences, Department of Physics

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 7793r.trotta Website CV

 
 
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Assistant

 

Mrs Sheila Ekudo +44 (0)20 7594 2086

 
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Location

 

1009Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Trotta:2013:10.1007/978-1-4614-3508-2_6,
author = {Trotta, R and Feroz, F and Hobson, M and de, Austri RR},
booktitle = {Springer Series in Astrostatistics},
doi = {10.1007/978-1-4614-3508-2_6},
pages = {107--119},
title = {Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm},
url = {http://dx.doi.org/10.1007/978-1-4614-3508-2_6},
year = {2013}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - We present a new algorithm, called MultiNest, which is a highly efficient alternative to traditional Markov Chain Monte Carlo (MCMC) sampling of posterior distributions. MultiNest is more efficient than MCMC, can deal with highly multi-modal likelihoods and returns the Bayesian evidence (or model likelihood, the prime quantity for Bayesian model comparison) together with posterior samples. It can thus be used as an all-around Bayesian inference engine. When appropriately tuned, it also provides an exploration of the profile likelihood that is competitive with what can be obtained with dedicated algorithms. We demonstrate the power and flexibility of MultiNest for Bayesian inference for multi-dimensional, multimodal-likelihoods, for Bayesian model selection and for profile likelihood evaluation for multi-modal, multi-scale likelihoods. Applications in cosmology and astroparticle physics are presented, including gravitational waves astronomy, inflationary Bayesian model comparison and supersymmetric parameter spaces exploration.
AU  - Trotta,R
AU  - Feroz,F
AU  - Hobson,M
AU  - de,Austri RR
DO  - 10.1007/978-1-4614-3508-2_6
EP  - 119
PY  - 2013///
SP  - 107
TI  - Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm
T1  - Springer Series in Astrostatistics
UR  - http://dx.doi.org/10.1007/978-1-4614-3508-2_6
ER  -
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