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
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
Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and mor......more
This book is the fruit of a study involving Malian SMEs. It is the result of numerous stereotypes indicating that Africa......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. T......more
This book contains chapters providing interpretations of principles in ICH E17 and new ideas of implementing MRCTs. Auth......more
A thorough and timely update, this new edition presents principles, techniques and applications in this sub-discipline o......more
The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written ......more
The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computati......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
Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives.......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
There is only one published book on confidence interval for clinical research. This book has a cookbook style with sever......more
Reference text for statistical methods and applications for measurement error models for: researchers who work with erro......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
Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial diffe......more
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This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementat......more
This collection of essays is in honor of Shizuhiko Nishisato on his 88th birthday and consists of invited contributions ......more
This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......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
In an era where data is abundant and computational power is soaring, Bayesian Inference - Recent Trends emerges as an es......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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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
This book provides a thorough exploration of intermediate statistical concepts, ensuring a well-rounded understanding of......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
This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, m......more
This book gives readers hands-on understanding of Excel assisted statistical techniques to take effective business decis......more
This book gives readers hands-on understanding of Excel assisted statistical techniques to take effective business decis......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
Presents an introduction to the analysis of NFL data using R. It emphasizes the use of the tidyverse in R, together with......more
Presents an introduction to the analysis of NFL data using R. It emphasizes the use of the tidyverse in R, together with......more
This book explores the challenges in adopting customer relationship management (CRM) models in developing countries, wit......more
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This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, ......more
An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theor......more
This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (......more
Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devi......more
This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. The bo......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
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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
This book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applic......more
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urb......more
Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantificatio......more
"Tales of the Tail: Legendary Cats Throughout History" is an enchanting exploration into the feline realm, delving into ......more
Objective intervention research is vital to improve outcomes, but this is a complex area, where it is all too easy to mi......more
Objective intervention research is vital to improve outcomes, but this is a complex area, where it is all too easy to mi......more
Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied stati......more
The text introduces students to numerous methods in solving a variety of Optimization problems. Also, the narrow focus o......more
An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doct......more
This upper-level textbook presents a new approach to large scale qualitative analysis - the pioneering breadth-and-depth......more
This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed popul......more
This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate......more
Filled with practical learning activities to adopt within your classroom, this book places reasoning about quantificatio......more
For researchers who use surveys interested in learning how to seize vast possibilities and flexibility of R in survey an......more
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and train......more
Statistics Using Stata uses a highly accessible and lively writing style to seamlessly integrate the learning of the lat......more
This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of......more
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"Survey data harmonization combines survey methods, statistical techniques, and substantive theories to create datasets ......more
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This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Régis Gras in the 19......more
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This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2......more