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From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
A Street Paved of Gold: An Italian Epic By: Robert R. Dattilo About the Book At the turn of the twentieth century, Vincenzo Martinelli migrated from the Provence of Calabria with his family in pursuit of the American dream. Upon entering the country, a chance meeting changes the trajectory of his life, and that of his family’s for generations to come. Filled with back-room deals, Prohibition-era mobsters, and everyday life in the growing town of Elizabeth, New Jersey, A Street Paved of Gold is an epic tale of one family’s rise to success through hard work, perseverance, and dedication to principles, and the traps and trials many immigrant families faced on their way to find their own street paved of gold.
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This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. In this second edition, I have attempted to expand the treatment of many of the techniques dis cussed, as well as include important topics such as the Metropolis algorithm and methods for assessing the convergence of a Markov chain algorithm. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), experience with condi tional inference at the level of Cox and Snell (1989) and exposure to statistical models as found in McCullagh and Neider (1989). I have chosen not to present the proofs of convergence or rates of convergence since these proofs may require substantial background in Markov chain theory which is beyond the scope ofthis book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the last five years. I have attempted to identify key references - though due to the volatility of the field some work may have been missed.
Just South of Zion assembles new scholarship on the first century of Mormon history in Mexico, from 1847 to 1947.