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Andrew Gelman

Autore di Bayesian Data Analysis

9+ opere 840 membri 9 recensioni 1 preferito

Sull'Autore

Andrew Gelman is a professor at Columbia University, New York, USA John B. Carlin is a professor at the University of Melbourne, Australia Hal S. Stern is a professor at the University of California, Irvine, USA Donald B. Rubin is a professor at Harvard University, Cambridge, Massachusetts, USA

Comprende il nome: Andrew Gelman

Opere di Andrew Gelman

Opere correlate

Beautiful Data: The Stories Behind Elegant Data Solutions (2009) — Collaboratore — 254 copie

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Informazioni generali

Sesso
male
Nazionalità
USA

Utenti

Recensioni

An excellent detailed but practical introduction to Regression from a largely Bayesian point of view with great examples and R code. There are many interesting asides, e.g. regression to the mean, and some key topics are explained in 2 or 3 different ways to aid your understanding. Also, by doing things in both a traditional frequentist - maximum likelihood way and then using stan_glm, the benefits of the Bayesian approach are seen.
 
Segnalato
markm2315 | Jul 1, 2023 |
In the end I'm a bit torn. Everybody describes it as the bible of bayesian statistics and it indeed covers a wide range of topics and by that supersedes all other general textbooks on bayesianism I know of. A great amount of literature is given after each chapter for everyone who wants to learn more about specific stuff. As a first time introduction on the other hand it's an incredible bad choice - if you don't know the basics you are going to have a bad time.
 
Segnalato
aeqk | 1 altra recensione | Dec 13, 2020 |
One of the best books on multi-level models. It was a great read and I loved the examples.
 
Segnalato
Jewel.Barnett | 2 altre recensioni | Sep 6, 2017 |

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Statistiche

Opere
9
Opere correlate
1
Utenti
840
Popolarità
#30,425
Voto
4.0
Recensioni
9
ISBN
41
Lingue
1
Preferito da
1

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