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Author : Mauro Gasparini
Publisher : Unknown
Page : 192 pages
File Size : 50,6 Mb
Release : 1992
Category : Electronic
ISBN : UOM:39015029199364
Author : Subir Ghosh
Publisher : CRC Press
Page : 864 pages
File Size : 50,5 Mb
Release : 1999-02-18
Category : Mathematics
ISBN : 0824700511
"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."
Author : S. Panchapakesan,N. Balakrishnan
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461223085
Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.
Author : Bernhard Schölkopf,John Platt,Thomas Hofmann
Publisher : MIT Press
Page : 1668 pages
File Size : 42,7 Mb
Release : 2007
Category : Artificial intelligence
ISBN : 9780262195683
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.
Author : John P. Klein,P.K. Goel
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 42,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9789401579834
Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.
Author : Anonim
Publisher : Unknown
Page : 960 pages
File Size : 46,7 Mb
Release : 2007
Category : Dissertations, Academic
ISBN : STANFORD:36105123442563
Author : Subhashis Ghosal,Aad van der Vaart
Publisher : Cambridge University Press
Page : 671 pages
File Size : 51,5 Mb
Release : 2017-06-26
Category : Business & Economics
ISBN : 9780521878265
Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.
Author : J. M. Bernardo
Publisher : Unknown
Page : 840 pages
File Size : 45,7 Mb
Release : 1996-05-09
Category : Mathematics
ISBN : UOM:39015037829929
The proceedings of The Valencia International Meeting on Bayesian Statistics (held every three years) provide an overview of this important and highly topical area in theoretical and applied statistics.
Author : Sam Efromovich
Publisher : CRC Press
Page : 448 pages
File Size : 46,7 Mb
Release : 2018-03-12
Category : Mathematics
ISBN : 9781351679848
This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing survival data, stationary and nonstationary time series and processes, and ill-posed modifications. The coverage is suitable for self-study or a one-semester course for graduate students with a prerequisite of a standard course in introductory probability. Exercises of various levels of difficulty will be helpful for the instructor and self-study. The book is primarily about practically important small samples. It explains when consistent estimation is possible, and why in some cases missing data should be ignored and why others must be considered. If missing or data modification makes consistent estimation impossible, then the author explains what type of action is needed to restore the lost information. The book contains more than a hundred figures with simulated data that explain virtually every setting, claim, and development. The companion R software package allows the reader to verify, reproduce and modify every simulation and used estimators. This makes the material fully transparent and allows one to study it interactively. Sam Efromovich is the Endowed Professor of Mathematical Sciences and the Head of the Actuarial Program at the University of Texas at Dallas. He is well known for his work on the theory and application of nonparametric curve estimation and is the author of Nonparametric Curve Estimation: Methods, Theory, and Applications. Professor Sam Efromovich is a Fellow of the Institute of Mathematical Statistics and the American Statistical Association.
Author : Chong Gu
Publisher : Springer Science & Business Media
Page : 433 pages
File Size : 51,7 Mb
Release : 2013-01-26
Category : Mathematics
ISBN : 9781461453697
Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of methods have proved successful for univariate smoothing, ones practical in multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing methods derived through roughness penalties, that are suitable for both univariate and multivariate problems. In this book, the author presents a treatise on penalty smoothing under a unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian responses as well as with censored lifetime data; (ii) density and conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates. The unifying themes are the general penalized likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical tools discussed in the book are implemented in R, an open-source platform for statistical computing and graphics. Suites of functions are embodied in the R package gss, and are illustrated throughout the book using simulated and real data examples. This monograph will be useful as a reference work for researchers in theoretical and applied statistics as well as for those in other related disciplines. It can also be used as a text for graduate level courses on the subject. Most of the materials are accessible to a second year graduate student with a good training in calculus and linear algebra and working knowledge in basic statistical inferences such as linear models and maximum likelihood estimates.
Author : Institute of Mathematical Statistics
Publisher : Unknown
Page : 704 pages
File Size : 40,7 Mb
Release : 1995
Category : Mathematical statistics
ISBN : UOM:35128001799665
Author : J.K. Ghosh,R.V. Ramamoorthi
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 54,7 Mb
Release : 2006-05-11
Category : Mathematics
ISBN : 9780387226545
This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.
Author : D. M. Titterington
Publisher : Unknown
Page : 404 pages
File Size : 43,7 Mb
Release : 2001
Category : Mathematics
ISBN : 0198509936
The year 2001 marks the centenary of Biometrika, one of the world's leading academic journals in statistical theory and methodology. In celebration of this, the book brings together two sets of papers from the journal. The first are specially commissioned articles that review the history of the journal and the most important contributions made by papers in the journal to a number of important areas of statistical activity, including general theory and methodology, surveys and time sets. The second group are a selection of particularly seminal articles from the journal's first hundred years. In the process these papers give a full description of the general development of statistical science during the twentieth century.
Author : Chris J. Lloyd,M. C. Jones,Australian Graduate School of Management
Publisher : Unknown
Page : 28 pages
File Size : 47,8 Mb
Release : 1999
Category : Distribution (Probability theory)
ISBN : 1862743673
Author : Jeffrey S. Simonoff
Publisher : Springer Science & Business Media
Page : 349 pages
File Size : 45,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461240266
Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the "Background Material" sections will interest statisticians studying the field. Over 750 references allow researchers to find the original sources for more details, and the "Computational Issues" sections provide sources for statistical software that use the methods discussed. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course in smoothing.