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In this follow up treatment of Predictably Irrational, Ariely convincingly proves that being aware of our irrational... Read More >>
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate... Read More >>
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This book is the outcome of the CIMPA School on Statistical Methods and Applications in Insurance and Finance, held... Read More >>
This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis... Read More >>
After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants... Read More >>
This contributed volume explores the emerging intersection between big data analytics and genomics. To reveal novel... Read More >>
Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity... Read More >>
Devoted to information security, this volume begins with a short course on cryptography, mainly basedon lectures... Read More >>
Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian... Read More >>
This book is a collection of papers presented at the “Forum Math-for-Industry 2015” for which the unifying theme... Read More >>
This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium... Read More >>
This proceedings book highlights the latest research and developments in psychometrics and statistics. Featuring... Read More >>
Gregory J. Privitera’s Essential Statistics for the Behavioral Sciences offers a concise and pedagogically rich... Read More >>
This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification.... Read More >>
The book contains solutions to fundamental problems which arise due to the logic of development of specific branches... Read More >>
Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental... Read More >>
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general... Read More >>