Re:Interview on ”Bayesian Statistics the Fun Way”
by gdy on Tuesday June 04, 2019 @11:58AM
(#20096219)
Can anyone recommend a 'Bayesian statistics the hard way' book?
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Re:Interview on ”Bayesian Statistics the Fun Way”
by kgwgk on Tuesday June 04, 2019 @02:56PM
(#20098085)
For the hard way, look at Bruno de Finetti's Theory of Probability:
https://onlinelibrary.wiley.com/doi/book/10.1002/97811192863...
Jaynes is certainly very deep and some sections are harder than others. It's interesting regardless of your level (this is a book worth rereading several times).
For a less technical, but full of insight, introduction see Dennis Lindley's Understanding Uncertainty:
https://onlinelibrary.wiley.com/doi/book/10.1002/97811186501...
Re:Interview on ”Bayesian Statistics the Fun Way”
by ploika on Tuesday June 04, 2019 @12:13PM
(#20096401)
Bayesian Data Analysis by Andrew Gelman
Re:Interview on ”Bayesian Statistics the Fun Way”
by dhfromkorea on Tuesday June 04, 2019 @12:55PM
(#20096869)
one vote for BDA. For programmers who learn better by implementing things, this book [1] is also good:
[1]: https://www.amazon.com/Bayesian-Methods-Hackers-Probabilisti...
Re:Interview on ”Bayesian Statistics the Fun Way”
by montecarl on Tuesday June 04, 2019 @01:26PM
(#20097200)
Parts of that book are available online[1] for free. If not for that book I would never have understood how to apply Bayesian stats to problems that interested me.
[1] http://camdavidsonpilon.github.io/Probabilistic-Programming-...
Re:Interview on ”Bayesian Statistics the Fun Way”
by j7ake on Tuesday June 04, 2019 @12:12PM
(#20096383)
Probability Theory: The Logic of Science by Edwin Jaynes
Re:Interview on ”Bayesian Statistics the Fun Way”
by loup-vaillant on Tuesday June 04, 2019 @07:17PM
(#20100148)
http://www.med.mcgill.ca/epidemiology/hanley/bios601/Gaussia...
But really, the first two chapters aren't that hard.
Re:Interview on ”Bayesian Statistics the Fun Way”
by datasciencetext on Tuesday June 04, 2019 @12:47PM
(#20096777)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan is also considered pretty good.