147,47 €
173,49 €
-15% su kodu: ENG15
A First Course in Bayesian Statistical Methods
147,47 € 
- Išsiųsime per 10–14 d.d.
A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
147.47
2025-07-13 23:59:00
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- Autorius: Peter D. Hoff
- Leidėjas: Springer-Verlag GmbH
- Metai: 2009
- ISBN-10: 0387922997
- ISBN-13: 9780387922997
- Formatas: 15.6 x 24.1 x 2.5 cm, kieti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Atsiliepimai
Aprašymas
A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
EXTRA 15 % nuolaida su kodu: ENG15
147,47 €
173,49 €
Išsiųsime per 10–14 d.d.
Akcija baigiasi už 2d.10:30:00
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Peter D. Hoff
- Leidėjas: Springer-Verlag GmbH
- Metai: 2009
- ISBN-10: 0387922997
- ISBN-13: 9780387922997
- Formatas: 15.6 x 24.1 x 2.5 cm, kieti viršeliai
- Kalba: Anglų
A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.
Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Atsiliepimai