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\nThis book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user\'s guide for researchers and...
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This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user\'s guide for researchers and graduate students from beyond statistics.
\n ukryj opis- Wydawnictwo: Cambridge University Press
- Kod:
- Rok wydania: 2019
- Język: Angielski
- Oprawa: Miękka
- Liczba stron: 254
- Szerokość opakowania: 15.3 cm
- Wysokość opakowania: 22.7 cm
- Głębokość opakowania: 1.5 cm
- Waga: 372 g
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