This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of......more

"Survey data harmonization combines survey methods, statistical techniques, and substantive theories to create datasets ......more

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on ......more

This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Régis Gras in the 19......more

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Advances in technology and data infrastructure call for innovations in clinical trial design. This book will be an impor......more

This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2......more

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a b......more

This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of re......more

This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes th......more

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This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing mul......more

This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an ......more

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Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in all disc......more

These Lecture Notes provide an introduction to the study of those discrete surfaces which are obtained by randomly gluin......more

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This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its app......more

Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called "A......more

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such a......more

This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design ......more

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What is the probability you’ll finish reading a long, perhaps tedious, book on probability? And if you do, what’s the pr......more

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This book discusses the principles and practical applications of data science, addressing key topics including data wran......more

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This is an Open Access book. This book based on static indicators and dynamic big data from local electric vehicles, is ......more

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching p......more

A landmark of the intelligent design movement, The Design Inference revolutionized our understanding of how we detect in......more

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Unlock the fascinating and captivating world of descriptive statistics through the book ’Descriptive Statistics - The We......more

Unlock the fascinating and captivating world of descriptive statistics through the book ’Descriptive Statistics - The We......more

Are you ready to unlock the mathematical secrets that power today’s most advanced artificial intelligence systems? "Esse......more

Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed ex......more

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This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes......more

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This graduate textbook provides an alternative to discrete event simulation. It describes how to formulate discrete even......more

This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and P......more

This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and P......more

This book introduces empirical methods for analyzing energy markets. Even beginners in econometrics and mathematical fin......more

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"Following in the footsteps of Stephen Hawking’s A brief history of time and Simon Singh’s Fermats Last Theorem this exc......more

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Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian sta......more

A comprehensive survey of undergraduate mathematics, compressing four years of study into one robust overview. In The Ma......more

Are you more likely to become a professional footballer if your surname is Ball? How can you be one hundred per cent sur......more

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulat......more

This textbook introduces readers to the fundamental notions of modern probability theory. The only prerequisite is a wor......more

This book explains the primary path to success, using software designed to sample and analyze cashflow and then link tha......more

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Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and me......more

A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning techniq......more

Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they a......more

This book develops limit theorems for a natural class of long range random walks on finitely generated torsion free nilp......more

This textbook investigates in detail the methods for stochastic dynamic response and stability analyses of nonlinear sys......more

"As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it’s for ......more

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This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stoch......more

Linear Models and the Relevant Distributions and Matrix Algebra: A Unified Approach, Volume 2 covers several important t......more

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathem......more

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Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to ......more

In non-technical language, without formulas and equations, but romanticised so that it can be read by those who until no......more

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The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential......more

Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variab......more

With social media producing such huge amounts of data, the importance of gathering this rich data, often called "the dig......more

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occur......more

This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical b......more

This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address researc......more