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F. Feroz

astro-ph.COastro-ph.IMgr-qchep-phphysics.data-anstat.COastro-ph.HEstat.MLastro-ph.GAcs.LG

On Valency

published · living versions
W_363ngydt·v1 · currentpublished
Importance Nested Sampling and the MultiNest Algorithm
with M. P. Hobson, E. Cameron, A. N. Pettitt
1 version

Preprints & journals

31 papers in the corpus · 2008–2026
Reliability of Probabilistic Emulation of Physical Systems2606.12997v2 · Sam F. Greenbury, Radka Jersakova, Paolo Conti et al.2026 · 0 citationsarXiv
Nested sampling for physical scientists2205.15570v1 · Greg Ashton, Noam Bernstein, Johannes Buchner et al.2022 · 159 citationsNature Reviews Methods Primers volume 2, Article number: 39 (2022)
Bayesian posterior repartitioning for nested sampling1908.04655v3 · Xi Chen, Farhan Feroz, Michael Hobson2019 · 3 citationsarXiv
AMI-CL J0300+2613: a Galactic anomalous-microwave-emission ring masquerading as a galaxy cluster1709.05136v1 · Yvette C. Perrott, Therese M. Cantwell, Steve H. Carey et al.2017 · 1 citationarXiv
Free-form modelling of galaxy clusters: a Bayesian and data-driven approach1705.10712v1 · Malak Olamaie, Michael P. Hobson, Farhan Feroz et al.2017 · 11 citationsarXiv
Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library1409.7215v2 · John Veitch, Vivien Raymond, Benjamin Farr et al.2014 · 958 citationsPhys. Rev. D 91, 042003 (2015)
Exploring Multi-Modal Distributions with Nested Sampling1312.5638v1 · F. Feroz, J. Skilling2013 · 29 citationsAIP Conference Proceedings, Volume 1553, pp. 106-113 (2013)
Bayes-X: a Bayesian inference tool for the analysis of X-ray observations of galaxy clusters1310.1885v2 · M. Olamaie, F. Feroz, K. J. B. Grainge et al.2013 · 11 citationsarXiv
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy1309.0790v2 · Philip Graff, Farhan Feroz, Michael P. Hobson et al.2013 · 106 citationsarXiv
Importance Nested Sampling and the MultiNest Algorithm1306.2144v3 · F. Feroz, M.P. Hobson, E. Cameron et al.2013 · 974 citationsarXivon Valency
Future Science Prospects for AMI1208.1966v2 · Keith Grainge, Paul Alexander, Richard Battye et al.2012 · 0 citationsarXiv
Detailed SZ study of 19 LoCuSS galaxy clusters: masses and temperatures out to the virial radius1205.7067v1 · Timothy W. Shimwell, Matthew L. Davies, Farhan Feroz et al.2012 · 24 citationsarXiv
BAMBI: blind accelerated multimodal Bayesian inference1110.2997v2 · Philip Graff, Farhan Feroz, Michael P. Hobson et al.2011 · 72 citationsMNRAS, Vol. 421, Issue 1, pg. 169-180 (2012)
Further Sunyaev-Zel'dovich observations of two Planck ERCSC clusters with the Arcminute Microkelvin Imager1103.0947v2 · Michael L. Brown, Matthew L. Davies, Farhan Feroz et al.2011 · 14 citationsarXiv
Sunyaev-Zel'dovich observations of LoCuSS clusters with the Arcminute Microkelvin Imager: moderate X-ray luminosity sample1101.5589v2 · Carmen Rodriguez-Gonzalvez, Timothy W. Shimwell, Matthew L. Davies et al.2011 · 4 citationsarXiv
Sunyaev-Zel'dovich observations of LoCuSS clusters with the Arcminute Microkelvin Imager: high X-ray luminosity sample1101.5590v1 · Carmen Rodriguez-Gonzalvez, Matthew L. Davies, Farhan Feroz et al.2011 · 0 citationsarXiv
Challenges of Profile Likelihood Evaluation in Multi-Dimensional SUSY Scans1101.3296v2 · F. Feroz, K. Cranmer (NYU), M. Hobson et al.2011 · 81 citationsJHEP 1106:042,2011
Parameterization Effects in the analysis of AMI Sunyaev-Zel'dovich Observations1012.4996v2 · Carmen Rodriguez-Gonzalvez, Matthew L. Davies, Farhan Feroz et al.2010 · 10 citationsarXiv
A Coverage Study of the CMSSM Based on ATLAS Sensitivity Using Fast Neural Networks Techniques1011.4306v2 · M. Bridges, K. Cranmer (NYU), F. Feroz et al.2010 · 39 citationsJHEP 1103:012,2011
Sunyaev-Zel'dovich observation of the Bullet-like cluster Abell 2146 with the Arcminute Microkelvin Imager1011.0325v2 · Carmen Rodriguez-Gonzalvez, Malak Olamaie, Matthew L. Davies et al.2010 · 30 citationsarXiv
The search for spinning black hole binaries in mock LISA data using a genetic algorithm1001.5380v1 · Antoine Petiteau, Yu Shang, Stanislav Babak et al.2010 · 27 citationsPhys.Rev.D81:104016,2010
The Mock LISA Data Challenges: from Challenge 3 to Challenge 40912.0548v2 · Stanislav Babak, John G. Baker, Matthew J. Benacquista et al.2009 · 139 citationsClass.Quant.Grav.27:084009,2010on Valency
Classifying LISA gravitational wave burst signals using Bayesian evidence0911.0288v2 · Farhan Feroz, Jonathan R. Gair, Philip Graff et al.2009 · 13 citationsClass. Quant. Grav.27:075010, 2010
Follow-up observations at 16 and 33 GHz of extragalactic sources from WMAP 3-year data: II - Flux-density variability0907.3843v1 · Thomas M. O. Franzen, Matthew L. Davies, Rod D. Davies et al.2009 · 16 citationsarXiv
Follow-up observations at 16 and 33 GHz of extragalactic sources from WMAP 3-year data: I - Spectral properties0907.3707v2 · Matthew L. Davies, Thomas M. O. Franzen, Rod D. Davies et al.2009 · 29 citationsarXiv
Fitting the Phenomenological MSSM0904.2548v4 · S.S. AbdusSalam, B.C. Allanach, F. Quevedo et al.2009 · 129 citationsPhys.Rev.D81:095012,2010
Use of the MultiNest algorithm for gravitational wave data analysis0904.1544v2 · Farhan Feroz, Jonathan R. Gair, Michael P. Hobson et al.2009 · 98 citationsClass.Quant.Grav.26:215003,2009
The impact of priors and observables on parameter inferences in the Constrained MSSM0809.3792v2 · R. Trotta, F. Feroz, M.P. Hobson et al.2008 · 212 citationsJHEP 0812:024,2008
Bayesian Selection of sign(mu) within mSUGRA in Global Fits Including WMAP5 Results0807.4512v2 · F. Feroz, B. C. Allanach, M. P. Hobson et al.2008 · 103 citationsJHEP 10 (2008) 064
Career total: 72 works. 31 are in this corpus.

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