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Astrostatistical Challenges for the New Astronomy (Springer Series in Astrostatistics) [Hardcover]

Joseph M. Hilbe

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Book Description

7 Nov 2012 1461435072 978-1461435075 2013
Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and astronomy-astrophysics, who work in the statistical analysis of astronomical and cosmological data. Eight of the ten monographs are enhancements of presentations given by the authors as invited or special topics in astrostatistics papers at the ISI World Statistics Congress (2011, Dublin, Ireland). The opening chapter, by the editor, was adapted from an invited seminar given at Los Alamos National Laboratory (2011) on the history and current state of the discipline; the second chapter by Thomas Loredo was adapted from his invited presentation at the Statistical Challenges in Modern Astronomy V conference (2011, Pennsylvania State University), presenting insights regarding frequentist and Bayesian methods of estimation in astrostatistical analysis. The remaining monographs are research papers discussing various topics in astrostatistics. The monographs provide the reader with an excellent overview of the current state astrostatistical research, and offer guidelines as to subjects of future research. Lead authors for each chapter respectively include Joseph M. Hilbe (Jet Propulsion Laboratory and Arizona State Univ); Thomas J. Loredo (Dept of Astronomy, Cornell Univ); Stefano Andreon (INAF-Osservatorio Astronomico di Brera, Italy); Martin Kunz ( Institute for Theoretical Physics, Univ of Geneva, Switz); Benjamin Wandel ( Institut d'Astrophysique de Paris, Univ Pierre et Marie Curie, France); Roberto Trotta (Astrophysics Group, Dept of Physics, Imperial College London, UK); Phillip Gregory (Dept of Astronomy, Univ of British Columbia, Canada); Marc Henrion (Dept of Mathematics, Imperial College, London, UK); Asis Kumar Chattopadhyay (Dept of Statistics, Univ of Calcutta, India); Marisa March (Astrophysics Group, Dept of Physics, Imperial College, London, UK).

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More About the Author

Joseph Michael Hilbe (b: 30Dec 1944, Los Angeles)
President, International Astrostatistics Association; Solar System Ambassador with NASA/Jet Propulsion Laboratory at California Institute of Technology; Adjunct Professor of Statistics, Arizona State University (since 1992), Emeritus Professor, University of Hawaii; senior faculty with Statistics.com. Chair of the International Statistical Institute's (ISI -- world association of statisticians) sport statistics committee, chair, ISI astrostatistics committee and Chair-elect, Statistics in Sports section, American Statisical Association. Editor-in-Chief, Springer Series in Astrostatistics.
Currently teach 6 courses every year for Statistics.com (www.statistics.com), Logistic Regression, Advanced Logistic Regression, Modeling Count Data, Generalized Linear Models, Modeling Longitudinal and Panel Data, Quasi-least squares regression.

HONORS
President, Internatonal Astrostatistics Association
Elected Fellow, American Statistical Association
Elected Member, International Statistical Institute - ISI
Chair, ISI Astrostatistics committee and Network (2009-)
Chair, ISI Sports Statistics committee (2008-)
Distinguished Alumnus award, California State University, Chico (2009)
Inductee, Chico State Athletic Hall of Fame (2007) [Calif State Univ, Chico)
(only graduate of the university to be obtain both awards)
Inductee, Paradise High School Athletic Hall of Fame (2010)
Inductee, Woodside Priory High School Athletic Hall of Fame (2011)
PROFESSIONAL MEMBERSHIP (current)
International Statistical Institute
American Statistical Association
Royal Statistical Society
Institute of Mathematical Statistics
Bernoulli Society for Probability and Applied Statistics

Founding Executive Committee, Health Policy Statistics Section, American
Statistical Association (1994-1995)
Member, Founding Scientific Organizing Committee, International
Conference on Health Policy Statistics (ICHPS) 1995, 1997, 1999, 2011.

BOOKS ON STATISTICAL MODELING
Hardin & Hilbe, Generalized Estimating Equations, 2nd edition, Chapman & Hall/CRC (278p)
Hardin, JW & JM Hilbe (2012), Generalized Linear Models and Extensions, Stata Press (409p)
Hilbe,JM, (2011), Negative Binomial Regression, 2nd ed, Cambridge University
Press (576 p)
Muenchen, R and JM Hilbe (2010), R for Stata Users, Springer (524 p)
Hilbe JM (2009), Logistic Regression Models, Chapman & Hall/CRC (656 p)
Hilbe JM (2010), Solutions Manual for Logistic Regression Models, Chapman & Hall/CRC (187p)
Hilbe JM (2007), Negative Binomial Regression, Cambridge University Press (263 p)
Hardin, JW & JM Hilbe (2001, 2007), Generalized Linear Models and Extensions, Stata Press (409p)
Hardin, JW & JM Hilbe (2002), Generalized Estimating Equations, Chapman & Hall/CRC (235p)
Hilbe, JM (1993), Stata Technical Bulletin Reprints, Vol 2, Stata Press
Hilbe, JM (1992), Stata Technical Bulletin Reprints, Vol 1, Stata Press

MAJOR BOOKS IN PHILOSOPHY AND LOGIC
Hilbe, JM (1983) Sentential Logic, Educ Services Pub
Hilbe, JM (1977) Fundamentals of Conceptual Analysis, Kendall/Hunt
Hilbe, JM (1973) Philosophical Foundations of Law, Educ Services Pub
Hilbe, JM (1970) Experiencing Philosophy, Educ Services Pub

BOOKS CURRENTLY IN PREPARATION UNDER CONTRACT
Hilbe, JM and AP Robinson, Methods of Statistical Model Estimation, Chapman & Hall/CRC [completition due date: Nov 2012]
Shults and Hilbe, Quasi Least Squares Regression, Chapman & Hall/CRC (Feb 2013)
Hilbe, JM, Logistic Regression Models, 2nd edition, Chapman & Hall/CRC
[completition due date: Dec 2013]
Author of over 100 book chapters, journals articles, and encyclopedia entries:
StatProb [ www.statprob.com], articles on:
1) Logistic Regression 2) Modeling Count Data; 3)Generalized Linear Models
Published: COUNT package, on CRAN, the download site for R statistical software
[data sets, functions, and scripts in R to accompany Negative Binomial Regression, 2nd ed. Published 13Sept2010 ]

CURRENT EDITORIAL BOARD MEMBERSHIP
The American Statistician (1997+); Computing and Software, Health Services and Outcomes Research Methodology ( 1999+); Journal of Modern Applied Statistical Methods (2000+); Advances and Applications in Statistical Sciences (2008+); The International Journal of Mathematics and Mathematical Sciences (2008+); Case Studies in Business, Industrial and Government Statistics (2006+)
FORMER EDITOR:
Stata Technical Bulletin (1991-1993) Founding Editor - now called Stata Journal Associate Editor (1993-1996).
Editor, Software Reviews, The American Statistician, (1997-2009)

EARLY LIFE
Born December 30, 1944 in Los Angeles, CA. Only son of Rader J Hilbe and Nadyne Anderson Hilbe. Father was an engineering supervisor at Douglas Aircraft and a UCLA mathematics professor during WWII. He founded and was CEO of THICO, a corporation that installed Rainbird sprinkler irrigation systems throughout the Central California valley in the late 1940's and 1950s. Mother was a professional singer and recording artist during the late 1920's through mid 1930's. Attended grammar school in Arcadia, CA from 1950-1958. Eagle Scout (1959) First 3 years of high school at Woodside Priory School, Portola Valley, CA (in San Francisco Bay Area). Graduated Paradise HS, Paradise, CA 1962. Spent one year working before going to college at what is today California State University, Chico. Graduated 1968 (philosophy), serving as the university's first President of the Philosophy Club. Travel by self: Europe, Near East, Egypt and Sudan (March-July, 1966)

ADULT
PhD program in philosophy (UCLA), JD, MA - University of Hawaii. Professor of Philosophy and track coach, Univ. of Hawaii. Also taught law in mid-70s at U of Hawaii. PhD in statistics (Applied Mathematics with stat specialization), UCLA

ATHLETICS
National AAU Pentathlon champion, 1968, 1978
Olympic Trials (Decathlon, 1968)
Track & Field News World list 100yd (9.4, 1967); 400m (45.9, 1965)
Javelin, 5th 1995 World Veterans Championships; Masters All American Javelin 1995-1999; AZ state record 100m(10.40,1973), Javelin (257'7",1976 - still record).
-----
Lead Competition Official, 1984 Olympic Games
Broadcast Coordinator, Turner Broadcasting System, 1990 Goodwill Games
Coach, U.S. track & field team - several times throughout 1980s
Head Track/CC coach, University of Hawaii 1979-1985 (coach Gwen Loud, NCAA long jump champ 1984, US team for 1983 World Championship; Gwen Gardner, 1980 US Olympic team 400 meters)
Asst Track coach, Univ of Hawaii 1973-1976 (coach of Terry Albritton, world record Shot Put 1976)
National Chair, AAU Junior Olympics track & Field (1979-1982)
President, Hawaiian Association AAU (1979-1980); TAC/USATF, 1980-84)


Product Description

Review

From the book reviews:

“This publication is a timely survey of advanced data science techniques that are increasingly common and necessary in the data-rich scientific discipline of astronomical research. … Astronomers and their statistician collaborators will benefit from this book. … this book is a very worthy research companion, one that should be kept within reach by any researcher in the field.” (Kirk Borne, Mathematical Reviews, June, 2014)

“This is an excellent book, covering advances in statistical analysis of astronomical data. … This book will be of great interest to researchers whose inference problems may go beyond what a standard MCMC algorithm can handle, or those who want a detailed but comprehensible summary of some recent advances in astronomical data analysis. It is highly recommended.” (Alan Heavens, The Observatory, Vol. 133 (1236), October, 2013)

The chapters represent the state-of-the-art of statistical work in astronomy. The book opens with a historical overview of the many intersections between astronomy and statistics,written by Professor Hilbe...it offers an exciting synthesis of two vibrant research fields—astronomy/cosmology and Bayesian statistics...The content of the book is rich and varied. There are chapters on the analysis of supernova data from the Sloan Digital Sky Survey and of the large scale (galaxy) structure of the universe; on the search for new planets; on the classification of stars and galaxies; on the detection of anomalous sources, which can lead to the discovery of new astronomical objects. From the statistical perspective, the reader will encounter Bayesian hierarchical models, nonlinear models, a variety of classification procedures, Gaussian random fields, and efficient posterior distribution samplers. In terms of both the applications and the methodologies discussed, this is an advanced text, very much on the forefront of research.Technometrics, 56:1

From the Back Cover

Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and astronomy-astrophysics having in interest in the statistical analysis of astronomical and cosmological data.  Eight of the ten monographs are enhancements of presentations given by the authors as invited or special topics in astrostatistics papers at the ISI World Statistics Congress (2011, Dublin, Ireland). The opening chapter, by the editor, was adapted from an invited seminar given at Los Alamos National Laboratory (2011) on the history and current state of the discipline; the second chapter by Thomas Loredo was adapted from his invited presentation at the Statistical Challenges in Modern Astronomy V conference (2011, Pennsylvania State University), presenting insights regarding frequentist and Bayesian methods of estimation in astrostatistical analysis. The remaining monographs are research papers discussing various topics in astrostatistics. The monographs provide the reader with an excellent overview of the current state astrostatistical research, and offer guidelines as to subjects of future research.


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