Computational Bayesian statistics: An introduction. M. Antónia AmaralTurkman, Carlos DanielPaulino, and PeterMüller (2019). Cambridge, UK: Cambridge University Press. 243 pages, ISBN: 978‐1‐108‐70374‐1.
DOI10.1002/BIMJ.201900307zbMath1441.00014OpenAlexW2987078512MaRDI QIDQ5120947
Publication date: 16 September 2020
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201900307
Computational methods in Markov chains (60J22) Software, source code, etc. for problems pertaining to statistics (62-04) Bayesian inference (62F15) Monte Carlo methods (65C05) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Numerical analysis or methods applied to Markov chains (65C40) External book reviews (00A17)
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