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Current Trends in Bayesian Methodology with Applications

Current Trends in Bayesian Methodology with Applications

Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 21, 2015

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics,...

Simple Statistical Methods for Software Engineering: Data and Patterns

Simple Statistical Methods for Software Engineering: Data and Patterns

C. Ravindranath Pandian, Murali Kumar
May 20, 2015

Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering. Simple Statistical Methods for Software Engineering: Data and Patterns fills that void. Instead of delving into overly complex statistics, the book details simpler...

Graphical Data Analysis with R

Graphical Data Analysis with R

Antony Unwin
May 20, 2015

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages...

Statistical Learning with Sparsity: The Lasso and Generalizations

Statistical Learning with Sparsity: The Lasso and Generalizations

Trevor Hastie, Robert Tibshirani, Martin Wainwright
May 07, 2015

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents...

Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

Hassan M. Khormi, Lalit Kumar
May 01, 2015

Master GIS Applications on Modelling and Mapping the Risks of Diseases Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne...

Modeling to Inform Infectious Disease Control

Modeling to Inform Infectious Disease Control

Niels G. Becker
April 28, 2015

Effectively Assess Intervention Options for Controlling Infectious Diseases Our experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious...

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

Deborah Nolan, Duncan Temple Lang
April 21, 2015

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

Robust Methods for Data Reduction

Robust Methods for Data Reduction

Alessio Farcomeni, Luca Greco
April 16, 2015

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical...

Statistics for Finance

Statistics for Finance

Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen
April 16, 2015

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that...

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition

Peter .J. Bickel, Kjell A. Doksum
April 13, 2015

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...

Adaptive Designs for Sequential Treatment Allocation

Adaptive Designs for Sequential Treatment Allocation

Alessandro Baldi Antognini, Alessandra Giovagnoli
April 06, 2015

Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued...

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data

Paul Gustafson
April 01, 2015

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years...

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