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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

Evaluating Climate Change Impacts

Evaluating Climate Change Impacts

  • Ingram,出版日期:2026-04-17

...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

Sampling Techniques for Spatial Domains
Encyclopedia of Complexity and Systems Science

Encyclopedia of Complexity and Systems Science

  • Ingram,出版日期:2025-05-02

...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

The Odds of Justice

The Odds of Justice

...more

Systems Analysis of Livestock Production
Handbook of Evaluation of Diagnostic Tests and Predictions
Geostatistical Modelling With R

Geostatistical Modelling With R

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

Statistics and Machine Learning for Big Data
Overdispersion

Overdispersion

In the frequentist framework, a quasi-likelihood approach has long been used as a means of allowing for overdispersion, ......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

Soccermetrics: Science of Soccer Statistics

Soccermetrics: Science of Soccer Statistics

This book presents a comprehensive treatment of pricing and hedging soccer betting contracts using the modern techniques......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

Introduction to Stock Portfolio Management

Introduction to Stock Portfolio Management

Emphasizing the need for knowledge of modern finance theory in portfolio management, this text explains why theory shoul......more

Genome Analysis

Genome Analysis

This second edition incorporates important advancements made in bioinformatics over the last decade. Focusing on practic......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

Precision Medicine and Companion Diagnostic Devices
Reliability Engineering Handbook

Reliability Engineering Handbook

Providing a comprehensive approach to both the art and science of reliability engineering, this volume covers all aspect......more

Theory of Standard Setting

Theory of Standard Setting

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Clinical Trial Simulations Using R
Justice Counts

Justice Counts

...more

Ramas Risk Calc 4.0 Software

Ramas Risk Calc 4.0 Software

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Starting Quantitative Analysis with R
The Odds of Justice

The Odds of Justice

...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

Model-Based Machine Learning

Model-Based Machine Learning

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Statistical Omics: A Biopharmaceutical Perspective
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

Data Engineering and Data Science: Concepts and Applications
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

Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted w......more

Basic Concepts of Biostatistics with R Commander
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

Reproducible Research with R
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

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

Design and Analysis of Accelerated Life Tests
Compositional Data Analysis

Compositional Data Analysis

Compositional Data Analysis (CoDA) refers to the analysis of all those vectors representing parts of a whole which only ......more

Flexible Bayesian Methods for Diagnosis and Roc Curve Estimation

Flexible Bayesian Methods for Diagnosis and Roc Curve Estimation

Offering a detailed and careful explanation of the methods, this book delineates Bayesian non parametric techniques to b......more

Latent Variables Models for Categorical Data
Open Science with R
Computational Physics with R

Computational Physics with R

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Mixed Models

Mixed Models

Research on mixed models has been extensive over the most recent decade. This book differs from the authors previous mo......more

An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric Anova

An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric Anova

Complete reference for applied statisticians and data analysts that uniquely covers the new statistical methodologies th......more

Large Deviations, Moment Problems, and Sum Rules

Large Deviations, Moment Problems, and Sum Rules

The De Gruyter Series in Probability and Stochastics is devoted to the publication of high-level monographs and speciali......more

Self-Different Fractals and Innovation

Self-Different Fractals and Innovation

  • Ingram,出版日期:2023-03-15

...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

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

Transforms in Quantum White Noise
Selecta III: Professor Sinai’s Selected Papers
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