This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for ...
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This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.
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Add this copy of Bayesian Core: a Practical Approach to Computational to cart. $20.00, very good condition, Sold by My Dead Aunt's Books rated 5.0 out of 5 stars, ships from Hyattsville, MD, UNITED STATES, published 2007 by Springer.
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Very Good in None as issued jacket. Size: 6x0x9; Signed by Marc Nerlove. The pages are clean and unmarked. The cover has osme mild bumping to the corners.
Add this copy of Bayesian Core: a Practical Approach to Computational to cart. $27.26, very good condition, Sold by Daedalus Books rated 5.0 out of 5 stars, ships from Portland, OR, UNITED STATES, published 2007 by Springer.
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Add this copy of Bayesian Core: a Practical Approach to Computational to cart. $38.32, new condition, Sold by discount_scientific_books rated 5.0 out of 5 stars, ships from Sterling Heights, MI, UNITED STATES, published 2007 by Springer.
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