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Book
Higher order asymptotics
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Year: 1994 Publisher: Institute of Mathematical Statistics

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Book
Higher order asymptotics
Author:
Year: 1994 Publisher: Institute of Mathematical Statistics

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Book
Higher order asymptotics
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Year: 1994 Publisher: Institute of Mathematical Statistics

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Book
Statistical information and likelihood: a collection of critical essays
Authors: ---
ISBN: 0387967516 1461238943 Year: 1988 Volume: 45 Publisher: New York Springer

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Book
Statistics : applications and new directions : proceedings of the Indian statistical institute golden jubilee international conference, Calcutta, 16-19 December, 1981
Authors: ---
Year: 1984 Publisher: Calcutta Indian statistical institute

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Bayesian nonparametrics
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ISBN: 0387955372 9786610009985 1280009985 0387226540 9780387955377 Year: 2003 Publisher: New York, N.Y. Springer

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Bayesian nonparametrics has grown tremendously in the last three decades, especially in the last few years. This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonparametric methods of classical statistics. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian nonparametrics. Though the emphasis of the book is on nonparametrics, there is a substantial chapter on asymptotics of classical Bayesian parametric models. Jayanta Ghosh has been Director and Jawaharlal Nehru Professor at the Indian Statistical Institute and President of the International Statistical Institute. He is currently professor of statistics at Purdue University. He has been editor of Sankhya and served on the editorial boards of several journals including the Annals of Statistics. Apart from Bayesian analysis, his interests include asymptotics, stochastic modeling, high dimensional model selection, reliability and survival analysis and bioinformatics. R.V. Ramamoorthi is professor at the Department of Statistics and Probability at Michigan State University. He has published papers in the areas of sufficiency invariance, comparison of experiments, nonparametric survival analysis and Bayesian analysis. In addition to Bayesian nonparametrics, he is currently interested in Bayesian networks and graphical models. He is on the editorial board of Sankhya.


Periodical
Statistics and probability essays in honor of C.R. Rao
Authors: --- ---
ISBN: 0444861300 Year: 1982 Publisher: Amsterdam New York Oxford North-Holland

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