Handbook of Mixture Analysis
Handbook of Graphical Models
Handbook of Approximate Bayesian Computation
Handbook of Quantile Regression
Handbook of Neuroimaging Data Analysis
Handbook of Spatial Epidemiology
Handbook of Big Data
Leonhard Held, Niel Hens, Philip D O'Neill, Jacco Wallinga
March 01, 2019
Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert
November 27, 2018
Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate students and young researchers new to the field. This Handbook is divided into two main parts; the...
Marloes Maathuis, Mathias Drton, Steffen Lilholt Lauritzen, Martin Wainwright
October 31, 2018
A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical...
Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoeting, Richard Lyttleton Smith
October 26, 2018
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in...
Scott A. Sisson, Yanan Fan, Mark Beaumont
August 10, 2018
As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of...
Ørnulf Borgan, Norman Breslow, Nilanjan Chatterjee, Mitchell H. Gail, Alastair Scott, Chris J. Wild
July 02, 2018
Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and...
Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng
October 25, 2017
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that...
John O'Quigley, Alexia Iasonos, Björn Bornkamp
April 26, 2017
Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and, arguably, nowhere greater than that of...
Jim Albert, Mark E. Glickman, Tim B. Swartz, Ruud H. Koning
December 21, 2016
This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer)...
Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
November 14, 2016
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering...
Andrew B. Lawson, Sudipto Banerjee, Robert P. Haining, Maria Dolores Ugarte
April 04, 2016
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space–time variations in...
Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan
February 18, 2016
Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text...