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This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical ......more
Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field an......more
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Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
The purpose of the book is to present the Malliavin-Skorohod calculus for additive processes, that is, processes with in......more
Welcome to the first book to explore the powerful tools within Power BI that can enhance and improve your analytical dat......more
This book provides an introduction to the theoretical development and practical methodology of the so-called science-bas......more
The book will cover a range of cases where statistical analyses helped document human rights problems, determine the val......more
This book focuses on current research and methodologies developed for re-engineering cancer clinical trials and also for......more
This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound an......more
This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a des......more
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Stochastic analysis is a complex field, and this book aims to provide a detailed coverage of it. The book is intended to......more
It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This boo......more
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There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how t......more
Taking a very practical, hand-on approach, this book introduces the use of Monte Carlo methods for solving practical pro......more
This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more
This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of proba......more
Fills a void in the literature for how to do PCA and CA with R, a wildly popular and open source software All analyses u......more
There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in r......more
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This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a ......more
This book is a guide to statistical genetics analyses with R. The focus will be on conveying concepts and theories, whil......more
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Biogeography has been dominated by a "dispersal versus vicariance" debate. Users of computational methods, which include......more
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This unique book presents a broad range of data on geometry and topology of long-distance liquid transport networks in n......more
Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in th......more
This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more
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The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Lear......more
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Causal Inference: What If provides an introduction to causal inference for scientists who design studies and analyze dat......more
An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of ......more
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We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. ......more
We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. ......more
This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more
This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The con......more
This Handbook aims to serve as a one-stop, reliable resource, including curated surveys and expository contributions on ......more
An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Ana......more
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Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public......more
’Eye-opening. An essential read for any football fan’ - Jamie Carragher A new, expanded and super-charged guide to Expec......more
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Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language o......more
Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language o......more
Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous, yet......more
Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous, yet......more
The statistical study and development of analytic methodology for individualization of treatments is no longer in its in......more
This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I ......more
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introduc......more
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introduc......more
This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flow......more
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This book presents modern techniques for the analysis of Markov chain Monte Carlo (MCMC) methods. A central focus is the......more
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This book discusses and compares four different approaches towards analyzing panel data in QCA. It starts by introducing......more
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Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages o......more