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Thrane, Eric, Talbot, Colm (2019) An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia, 36. doi:10.1017/pasa.2019.2

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Reference TypeJournal (article/letter/editorial)
TitleAn introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models
JournalPublications of the Astronomical Society of Australia
AuthorsThrane, EricAuthor
Talbot, ColmAuthor
Year2019Volume36
PublisherCambridge University Press (CUP)
DOIdoi:10.1017/pasa.2019.2Search in ResearchGate
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Mindat Ref. ID3606075Long-form Identifiermindat:1:5:3606075:9
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Full ReferenceThrane, Eric, Talbot, Colm (2019) An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia, 36. doi:10.1017/pasa.2019.2
Plain TextThrane, Eric, Talbot, Colm (2019) An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia, 36. doi:10.1017/pasa.2019.2
In(2019) Publications of the Astronomical Society of Australia Vol. 36. Cambridge University Press (CUP)

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Thrane, Eric, Talbot, Colm (2020) An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models—Corrigendum. Publications of the Astronomical Society of Australia, 37. doi:10.1017/pasa.2020.23
Romero-Shaw, Isobel M., Thrane, Eric, Lasky, Paul D. (2022) When models fail: An introduction to posterior predictive checks and model misspecification in gravitational-wave astronomy. Publications of the Astronomical Society of Australia, 39. doi:10.1017/pasa.2022.24
Gunapati, Geetakrishnasai, Jain, Anirudh, Srijith, P. K., Desai, Shantanu (2022) Variational inference as an alternative to MCMC for parameter estimation and model selection. Publications of the Astronomical Society of Australia, 39. doi:10.1017/pasa.2021.64
Talbot, Colm, Smith, Rory, Thrane, Eric, Poole, Gregory B. (2019) Parallelized inference for gravitational-wave astronomy. Physical Review D, 100 (4). doi:10.1103/physrevd.100.043030
Talbot, Colm, Golomb, Jacob (2023) Growing pains: understanding the impact of likelihood uncertainty on hierarchical Bayesian inference for gravitational-wave astronomy. Monthly Notices of the Royal Astronomical Society, 526 (3) 3495-3503 doi:10.1093/mnras/stad2968
Silverwood, Hamish, Easther, Richard (2019) Stellar accelerations and the galactic gravitational field. Publications of the Astronomical Society of Australia, 36. doi:10.1017/pasa.2019.25
Smith, Rory J E, Ashton, Gregory, Vajpeyi, Avi, Talbot, Colm (2020) Massively parallel Bayesian inference for transient gravitational-wave astronomy. Monthly Notices of the Royal Astronomical Society, 498 (3) 4492-4502 doi:10.1093/mnras/staa2483
Sarin, Nikhil, Lasky, Paul D. (2022) Multimessenger astronomy with a kHz-band gravitational-wave observatory. Publications of the Astronomical Society of Australia, 39. doi:10.1017/pasa.2022.1
Payne, Ethan, Talbot, Colm, Thrane, Eric (2019) Higher order gravitational-wave modes with likelihood reweighting. Physical Review D, 100 (12). doi:10.1103/physrevd.100.123017
HĂĽbner, Moritz, Talbot, Colm, Lasky, Paul D., Thrane, Eric (2020) Measuring gravitational-wave memory in the first LIGO/Virgo gravitational-wave transient catalog. Physical Review D, 101 (2). doi:10.1103/physrevd.101.023011
Talbot, Colm, Thrane, Eric, Lasky, Paul D., Lin, Fuhui (2018) Gravitational-wave memory: Waveforms and phenomenology. Physical Review D, 98 (6). doi:10.1103/physrevd.98.064031
 
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