20.500.12556/RUL-183994 Past, present and future of software for Bayesian inference Software tools for Bayesian inference have undergone rapid evolution in the past three decades, following popularisation of the first generation MCMC-sampler implementations. More recently, exponential growth in the number of users has been stimulated both by the active development of new packages by the machine learning community and popularity of specialist software for particular applications. This review aims to summarize the most popular software and provide a useful map for a reader to navigate the world of Bayesian computation. We anticipate a vigorous continued development of algorithms and corresponding software in multiple research fields, such as probabilistic programming, likelihood-free inference and Bayesian neural networks, which will further broaden the possibilities for employing the Bayesian paradigm in exciting applications. statistics data analysis MCMC computation probabilistic programming statistika analiza podatkov MCMC računske metode probabilistično programiranje true false true Angleški jezik Slovenski jezik Članek v reviji 2026-06-23 14:39:59 2026-06-24 07:30:20 2026-06-25 04:12:03 0000-00-00 00:00:00 0 0 0 Str. 46-61 no. 1 Vol. 39 Feb. 2024 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.4:519.2 0883-4237 10.1214/23-STS907 186530307 RAZ_Strumbelj_Erik_0.pdf RAZ_Strumbelj_Erik_0.pdf 1 8C832DA827DB42AB06247F8C65DA610B 866ad291be45672f880713b1dca58d10517130d2b5b8c5619b773c5be90b6481 c051e1a8-6f00-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=236372 https://projecteuclid.org/journals/statistical-science/volume-39/issue-1/Past-Present-and-Future-of-Software-for-Bayesian-Inference/10.1214/23-STS907.full 1 9155446e-6f00-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=236371 Fakulteta za računalništvo in informatiko 0 0 0