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Geostatistical Modelling With R

Geostatistical Modelling With R

This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical ......more

Environmental Statistics With R

Environmental Statistics With R

Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field an......more

Demystifying Probability and Statistics for Data Scientists with R

Demystifying Probability and Statistics for Data Scientists with R

Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more

Demystifying Probability and Statistics for Data Scientists with R

Demystifying Probability and Statistics for Data Scientists with R

Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more

Malliavin-skorohod Calculus for Additive Processes With Applications to Finance

Malliavin-skorohod Calculus for Additive Processes With Applications to Finance

The purpose of the book is to present the Malliavin-Skorohod calculus for additive processes, that is, processes with in......more

Data Analysis in Power Bi: Going Deep Into Data Using Visualization

Data Analysis in Power Bi: Going Deep Into Data Using Visualization

Welcome to the first book to explore the powerful tools within Power BI that can enhance and improve your analytical dat......more

Science-based Spatiotemporal Statistics: Practical Guide With Environmental and Human Exposure Applications

Science-based Spatiotemporal Statistics: Practical Guide With Environmental and Human Exposure Applications

This book provides an introduction to the theoretical development and practical methodology of the so-called science-bas......more

Justice Counts

Justice Counts

The book will cover a range of cases where statistical analyses helped document human rights problems, determine the val......more

Innovative Clinical Trial Designs for Evidence-Based Medicine: Statistical Methods and Healthcare Applications

Innovative Clinical Trial Designs for Evidence-Based Medicine: Statistical Methods and Healthcare Applications

This book focuses on current research and methodologies developed for re-engineering cancer clinical trials and also for......more

Interpreting Ecological Complexity: A Practical Guide to Avoid Becoming a Mistaken Scientist

Interpreting Ecological Complexity: A Practical Guide to Avoid Becoming a Mistaken Scientist

This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound an......more

Stochastic Calculus: An Elementary Introduction Emphasizing Applications

Stochastic Calculus: An Elementary Introduction Emphasizing Applications

This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a des......more

Stochastic Analysis: Financial Mathematics with Matlab(r)

Stochastic Analysis: Financial Mathematics with Matlab(r)

Stochastic analysis is a complex field, and this book aims to provide a detailed coverage of it. The book is intended to......more

Applied Bayesian Modelling With Jags

Applied Bayesian Modelling With Jags

It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This boo......more

Multiple Testing Adjustment in Clinical Trials and Genetic Epidemiology Studies With R

Multiple Testing Adjustment in Clinical Trials and Genetic Epidemiology Studies With R

There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how t......more

Monte Carlo Simulation for Experimental Physics: A Practical Introduction to Concepts, Methods, Technology and Tools

Monte Carlo Simulation for Experimental Physics: A Practical Introduction to Concepts, Methods, Technology and Tools

Taking a very practical, hand-on approach, this book introduces the use of Monte Carlo methods for solving practical pro......more

Statistical Modelling of Occupant Behaviour

Statistical Modelling of Occupant Behaviour

This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more

Probability Theory and Stochastic Processes With Applications

Probability Theory and Stochastic Processes With Applications

This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of proba......more

Principal Component and Correspondence Analyses Using R

Principal Component and Correspondence Analyses Using R

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

Big Data Science for Criminology and the Social Sciences: From Case Studies to Theory

Big Data Science for Criminology and the Social Sciences: From Case Studies to Theory

There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in r......more

Predictive Clustering

Predictive Clustering

This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a ......more

Statistical Genetics: Analyses With R

Statistical Genetics: Analyses With R

This book is a guide to statistical genetics analyses with R. The focus will be on conveying concepts and theories, whil......more

Biogeobears - a Bayesian Approach to Biogeography

Biogeobears - a Bayesian Approach to Biogeography

Biogeography has been dominated by a "dispersal versus vicariance" debate. Users of computational methods, which include......more

Optimal Transport Networks in Nature

Optimal Transport Networks in Nature

This unique book presents a broad range of data on geometry and topology of long-distance liquid transport networks in n......more

Advanced Modeling and Inference: Learning Latent Structures and Causality from Data

Advanced Modeling and Inference: Learning Latent Structures and Causality from Data

Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in th......more

Statistical Methods for Directional Data

Statistical Methods for Directional Data

This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more

Advanced Variance Reduction Techniques for MCMC

Advanced Variance Reduction Techniques for MCMC

The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Lear......more

Causal Inference: What If

Causal Inference: What If

Causal Inference: What If provides an introduction to causal inference for scientists who design studies and analyze dat......more

Statistics for Biological Networks: How to Infer Networks from Data

Statistics for Biological Networks: How to Infer Networks from Data

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of ......more

The Statistical Analysis of Small Data Sets

The Statistical Analysis of Small Data Sets

We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. ......more

The Statistical Analysis of Small Data Sets

The Statistical Analysis of Small Data Sets

We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. ......more

New Models and Methods in Dynamic Portfolio Optimization

New Models and Methods in Dynamic Portfolio Optimization

This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more

Machine Learning for Real World Applications

Machine Learning for Real World Applications

  • Ingram,出版日期:2024-11-30

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The con......more

Handbook of Trustworthy Federated Learning

Handbook of Trustworthy Federated Learning

  • Ingram,出版日期:2024-11-20

This Handbook aims to serve as a one-stop, reliable resource, including curated surveys and expository contributions on ......more

Financial Data Analytics with Machine Learning, Optimization and Statistics

Financial Data Analytics with Machine Learning, Optimization and Statistics

An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Ana......more

Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data

Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data

  • Ingram,出版日期:2024-10-09

Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public......more

Xgenius: Expected Goals and the Science of Winning Football Matches

Xgenius: Expected Goals and the Science of Winning Football Matches

’Eye-opening. An essential read for any football fan’ - Jamie Carragher A new, expanded and super-charged guide to Expec......more

Mathematical Engineering of Deep Learning

Mathematical Engineering of Deep Learning

Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language o......more

Mathematical Engineering of Deep Learning

Mathematical Engineering of Deep Learning

Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language o......more

Multivariate Statistical Methods: A Primer

Multivariate Statistical Methods: A Primer

Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous, yet......more

Multivariate Statistical Methods: A Primer

Multivariate Statistical Methods: A Primer

Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous, yet......more

Handbook of Statistical Methods for Precision Medicine

Handbook of Statistical Methods for Precision Medicine

  • Ingram,出版日期:2024-10-02

The statistical study and development of analytic methodology for individualization of treatments is no longer in its in......more

Risk Analytics and Management in Finance and Insurance: Financial Models and Statistical Methods

Risk Analytics and Management in Finance and Insurance: Financial Models and Statistical Methods

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

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With Jamovi

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

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With Jamovi

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introduc......more

Two-Dimensional Single-Variable Cubic Nonlinear Systems, Vol VI

Two-Dimensional Single-Variable Cubic Nonlinear Systems, Vol VI

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flow......more

Stability of Markov Chain Monte Carlo Methods

Stability of Markov Chain Monte Carlo Methods

This book presents modern techniques for the analysis of Markov chain Monte Carlo (MCMC) methods. A central focus is the......more

An Introduction to Panel Data Qca in R

An Introduction to Panel Data Qca in R

This book discusses and compares four different approaches towards analyzing panel data in QCA. It starts by introducing......more

Handbook of Statistical Analysis: AI and ML Applications

Handbook of Statistical Analysis: AI and ML Applications

Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages o......more

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