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Analysis and Stochastics of Growth Processes and Interface Models

Analysis and Stochastics of Growth Processes and Interface Models

Peter Mörters, Roger Moser, Mathew Penrose, Hartmut Schwetlick, and Johannes Zimmer (eds)

Published in print:
2008
Published Online:
September 2008
ISBN:
9780199239252
eISBN:
9780191716911
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199239252.001.0001
Subject:
Mathematics, Probability / Statistics, Analysis

There has been a significant increase recently in activities on the interface between applied analysis and probability theory. With the potential of a combined approach to the study of various ... More

Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

Ludwig Fahrmeir and Thomas Kneib

Published in print:
2011
Published Online:
September 2011
ISBN:
9780199533022
eISBN:
9780191728501
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199533022.001.0001
Subject:
Mathematics, Probability / Statistics, Biostatistics

Several recent advances in smoothing and semiparametric regression are presented in this book from a unifying, Bayesian perspective. Simulation-based full Bayesian Markov chain Monte Carlo (MCMC) ... More

Bayesian Statistics 9

Bayesian Statistics 9

José M. Bernardo, M. J. Bayarri, James O. Berger, A. P. Dawid, David Heckerman, Adrian F. M. Smith, and Mike West (eds)

Published in print:
2011
Published Online:
January 2012
ISBN:
9780199694587
eISBN:
9780191731921
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199694587.001.0001
Subject:
Mathematics, Probability / Statistics

The Valencia International Meetings on Bayesian Statistics – established in 1979 and held every four years – have been the forum for a definitive overview of current concerns and activities in ... More

Bayesian Theory and Applications

Bayesian Theory and Applications

Paul Damien, Petros Dellaportas, Nicholas G. Polson, and David A. Stephens (eds)

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.001.0001
Subject:
Mathematics, Probability / Statistics

The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances ... More

Benford's LawTheory and Applications

Benford's Law: Theory and Applications

Steven J. Miller (ed.)

Published in print:
2015
Published Online:
October 2017
ISBN:
9780691147611
eISBN:
9781400866595
Item type:
book
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691147611.001.0001
Subject:
Mathematics, Probability / Statistics

Benford's law states that the leading digits of many data sets are not uniformly distributed from one through nine, but rather exhibit a profound bias. This bias is evident in everything from ... More

Celebrating StatisticsPapers in honour of Sir David Cox on his 80th birthday

Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday

A. C. Davison, Yadolah Dodge, and N. Wermuth (eds)

Published in print:
2005
Published Online:
September 2007
ISBN:
9780198566540
eISBN:
9780191718038
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198566540.001.0001
Subject:
Mathematics, Probability / Statistics

Sir David Cox is among the most important statisticians of the past half-century, making pioneering and highly influential contributions to a wide range of topics in statistics and applied ... More

Combinatorics, Complexity, and ChanceA Tribute to Dominic Welsh

Combinatorics, Complexity, and Chance: A Tribute to Dominic Welsh

Geoffrey Grimmett and Colin McDiarmid (eds)

Published in print:
2007
Published Online:
September 2007
ISBN:
9780198571278
eISBN:
9780191718885
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198571278.001.0001
Subject:
Mathematics, Probability / Statistics

Professor Dominic Welsh has made significant contributions to the fields of combinatorics and discrete probability, including matroids, complexity, and percolation. He has taught, influenced, and ... More

Concentration InequalitiesA Nonasymptotic Theory of Independence

Concentration Inequalities: A Nonasymptotic Theory of Independence

Stéphane Boucheron, Gábor Lugosi, and Pascal Massart

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199535255
eISBN:
9780191747106
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199535255.001.0001
Subject:
Mathematics, Probability / Statistics, Applied Mathematics

This monograph presents a mathematical theory of concentration inequalities for functions of independent random variables. The basic phenomenon under investigation is that if a function of many ... More

Degenerate Diffusion Operators Arising in Population Biology (AM-185)

Degenerate Diffusion Operators Arising in Population Biology (AM-185)

Charles L. Epstein and Rafe Mazzeo

Published in print:
2013
Published Online:
October 2017
ISBN:
9780691157122
eISBN:
9781400846108
Item type:
book
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691157122.001.0001
Subject:
Mathematics, Probability / Statistics

This book provides the mathematical foundations for the analysis of a class of degenerate elliptic operators defined on manifolds with corners, which arise in a variety of applications such as ... More

Hidden Markov ProcessesTheory and Applications to Biology

Hidden Markov Processes: Theory and Applications to Biology

M. Vidyasagar

Published in print:
2014
Published Online:
October 2017
ISBN:
9780691133157
eISBN:
9781400850518
Item type:
book
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691133157.001.0001
Subject:
Mathematics, Probability / Statistics

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. It starts from first principles, so that ... More

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