Covering all aspects of probability theory, statistics and data analysis from a Bayesian perspective for graduate students and researchers.
Bayesian Probability Theory
According to the identified parameters shown in Table 5.3a, the vertical strain for samples S3 and S4 is predicted by the Yin et al_2011_S1 and Yang et al_2015_S1 models. Table 5.5a, b summarizes the corresponding statistical results ...
Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples.
This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory.
If you're looking for baby math books, probability for kids, or more Baby University board books to surprise your little one, look no further! Bayesian Probability for Babies offers fun early learning for your little scientist!
This book contains selected and refereed contributions to the "Inter national Symposium on Probability and Bayesian Statistics" which was orga nized to celebrate the 80th birthday of Professor Bruno de Finetti at his birthplace Innsbruck in ...
Probability theory
9. J. Ruanaidh and W. Fitzgerald, Numerical Bayesian Methods Applied to Signal Processing, Springer, New York, 1996. 10. R. Neal, “Probabilistic inference using markov chain monte carlo methods,” Dept. of Computer Science, ...
In this richly illustrated book, the tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis.
The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice.