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Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Code ported to Python/PyMC3Code ported to Python/PyMC3

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Code ported to Python/PyMC3

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Code ported to Python/PyMC3

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Source Link

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Code ported to Python/PyMC3

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

Code ported to Python/PyMC3

Source Link

Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. The author uses a similar approach as the one used by John Kruschke in his puppy books; very verbose, detailed explanations, nice pedagogical examples, he also uses a computational rather than mathematical approach.

Youtube lectures and other material is also available from here.

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