This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in contin......more
A fast-food chain once tried to compete with McDonald’s quarter-pounder by introducing a third-pound hamburger--only for......more
This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specifi......more
This book presents advanced methods in business intelligence models that are applicable in research areas of business an......more
A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essenti......more
Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two......more
For health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in......more
The book deals with basic statistics which are used by applied and empirical research workers in the field of engineerin......more
This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three par......more
There are many unsolved problems in the study of cancer screening: how to estimate key parameters involved in screening ......more
This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound......more
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This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusio......more
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This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communi......more
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to deve......more
This book is the fruit of a study involving Malian SMEs. It is the result of numerous stereotypes indicating that Africa......more
Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and mor......more
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems compris......more
This book narrates the detailed review on stochastic behavior of repeated purchasers and made an attempt to compare expe......more
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. I......more
Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow.......more
A thorough and timely update, this new edition presents principles, techniques, and applications in this sub-discipline ......more
The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written ......more
This edited volume comprises invited contributions from world-renowned researchers in the subject of stochastic control ......more
Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of la......more
Free Probability/Non-commutative Probability has gained much attentionsignificant advances have been made since its init......more
This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range o......more
Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multip......more
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniqu......more
With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction......more
Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and med......more
Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysi......more
Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, incl......more
This book’s exploration of many common statistical problems with real-world examples makes it an invaluable reference fo......more
This book provides a comprehensive coverage on safety monitoring methodologies, covering both global trends and regional......more
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This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more
This collection of essays is in honor of Shizuhiko Nishisato on his 88th birthday and consists of invited contributions ......more
This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementat......more
This book formulates methods for modeling continuous and categorical correlated outcomes that extend the commonly used m......more
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This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Apertu......more
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning ca......more
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning ca......more
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Statistical Inference (SI), as an essential chapter of Statistical Science, provides advanced methods for problem solvin......more
This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game ......more
This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further ......more
This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of pr......more
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Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics.......more
This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the ......more
This book aims to present evidence of the crucial importance of artificial intelligence and big data for medical decisio......more
This revised edition offers an approach to information theory that is more general than the classical approach of Shanno......more
This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the ......more
Generating function (GF) is a mathematical technique to concisely represent a known ordered sequence into a simple conti......more
Fractional calculus has emerged as a powerful and effective mathematical tool in the study of several phenomena in scien......more
This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, m......more
Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to lea......more
This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business dec......more
This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business dec......more
The book introduces a finance calibration issue, aiming to determine model parameters using observed option prices. It d......more
This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommende......more
Elevate your machine learning skills using the Conformal Prediction framework for uncertainty quantification. Dive into ......more
This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differentia......more
It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrat......more
It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrat......more
This book explores the challenges in adopting customer relationship management (CRM) models in developing countries, wit......more
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This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (......more
Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enorm......more
An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theor......more
This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, ......more
This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. Asympt......more
Book Publication Date: Dec 13, 2023. Full color. Introductory Statistics 2e provides an engaging, practical, and thoroug......more
Book Publication Date: Dec 13, 2023. Black & white print. Introductory Statistics 2e provides an engaging, practical, an......more
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This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistica......more
Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between env......more
This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Department of E......more
The expansion and constant complication of the scope of research objects requires the development of new effective metho......more
Comparing the clusters obtained by two statistical grouping techniques, hierarchical and k-means, we examine the results......more
If you’re a complete newbie who’s wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource......more
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Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urb......more
The Monte Carlo methods are widely used in many fields of modern science and technology. As an effective tool for multiv......more
Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantificatio......more
This book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applic......more
Those who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard ......more
Those who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard ......more
Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily......more
"Tales of the Tail: Legendary Cats Throughout History" is an enchanting exploration into the feline realm, delving into ......more
The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent r......more
An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doct......more