Probability and statistics

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data.

The book covers several new research findings in the area of generalized convexity and integral inequalities.

This book will introduce digital humanists at all levels of education to Python.

With all the insights experienced in the COVID process, one essential remains: "e;The virus remains a constant companion"e;.

With all the insights experienced in the COVID process, one essential remains: "e;The virus remains a constant companion"e;.

Oftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms.

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data.

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Want to sharpen your mathematical wits?

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15-19, 2020.

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15-19, 2020.

The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory.

The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory.

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data.

This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines.

This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines.

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data.

Data can be extremely valuable if we are able to extract information from them.

Data can be extremely valuable if we are able to extract information from them.

The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems.

Want to sharpen your mathematical wits?

This book presents an introduction to the main concepts of statistical physics, followed by applications to specific problems and more advanced concepts, selected for their pedagogical or practical interest.

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications.

This book provides the essential theoretical tools for stochastic modeling.

Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr.

This book covers the main models within the GLM (i.

Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare.

This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation.

This book covers the main models within the GLM (i.

This is a developing area of modern probability theory, which has applications in many areas.

This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource.

This textbook provides a comprehensive introduction to mathematical calculus.

This textbook provides a comprehensive introduction to mathematical calculus.

Evaluating statistical procedures through decision and game theory, as first proposed by Neyman and Pearson and extended by Wald, is the goal of this problem-oriented text in mathematical statistics.

This is a developing area of modern probability theory, which has applications in many areas.

This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successfully carved out.

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing games of chance, including casino games, horse racing and other sports, and lotteries.

The book covers several new research findings in the area of generalized convexity and integral inequalities.

Dieses Buch ist die erste fachübergreifende Einführung in die Kombinatorik in deutscher Sprache und umfasst Gesetzmäßigkeiten, Rechenregeln, Anwendungen sowie 50 Übungsaufgaben mit Lösungen.

Dieses Buch ist die erste fachübergreifende Einführung in die Kombinatorik in deutscher Sprache und umfasst Gesetzmäßigkeiten, Rechenregeln, Anwendungen sowie 50 Übungsaufgaben mit Lösungen.

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing games of chance, including casino games, horse racing and other sports, and lotteries.

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading.

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications.

This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory and algorithms and has been receiving a growing attention in network research.

This book offers an introduction to the field of stochastic analysis of Hermite processes.