Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distin......more

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This book introduces readers to the financial markets, derivatives, structured products and how the products are modelle......more

Available in English for the first time, this classic and influential book by the late Kohei Otshu presents real example......more

This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematic......more

This book grew out of the 2021 Chapel Hill Ergodic Theory Workshop (https: //ergwork.web.unc.edu/schedule-of-talks-201/)......more

This book is a step-by-step data story for analysing ordinal data from start to finish. The book is for researchers, sta......more

This open access book celebrates the decennial of the Department of Industrial Engineering of Università di Napoli Feder......more

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in m......more

As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance ......more

Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics, offe......more

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more

This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure d......more

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This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, M......more

The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systemat......more

The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systemat......more

Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex ......more

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduct......more

This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales and de......more

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random pro......more

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings ......more

Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical appl......more

The CRISPR-Cas9 genome-editing system is creating a revolution in the science world. In the laboratory, CRISPR-Cas9 can ......more

Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to ......more

Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intellig......more

This book introduces general definitions of third-variable effects that are adaptable to all different types of response......more

Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statistici......more

This book offers a modern, 2nd generation look on wavelets, far beyond the rigid setting of the equispaced, dyadic wavel......more

By deploying time series analysis, Fourier transform, functional analysis, min-plus convolution, and fractional order sy......more

For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II and courses ......more

This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behavior......more

The authors present the essence of statistical reasoning in clinical trials, peppered with well-known clinical trials Th......more

This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, eng......more

The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Confer......more

Cell and gene therapies have become the third major drug modality in pharmaceutical medicine of the 21st century after l......more

Basics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, n......more

Optimization problems involving sequential decisions in a stochastic environment were studied in Stochastic Programming ......more

Generalized Linear Mixed Models: Modern Concepts, Methods, and Applications (2nd edition) presents an updated introducti......more

Exploring Operations Research with R shows how the R programming language can be a valuable tool - and way of thinking -......more

Exploring Operations Research with R shows how the R programming language can be a valuable tool - and way of thinking -......more

Praise for the first edition: "This book would be especially good for the shelf of anyone who already knows nonparametri......more

The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting......more

This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. ......more

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to t......more

The use of simulation techniques has increased in importance in recent history, and simulation activities are an importa......more

The use of simulation techniques has increased in importance in recent history, and simulation activities are an importa......more

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change ......more

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more

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This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical......more

The goal of this unique text is to provide an "experience" that would facilitate a better transition for mathematics maj......more

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applic......more

"At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that mig......more

Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using......more

Probabilistic models are widely used for description and an analysis of various processes in system reliability, risk, q......more

This book is for students and professionals involved in Geospatial Computations and related areas such as Geomatics, Sur......more

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more

The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diag......more

The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diag......more

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The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more

The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more

This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it ......more

This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. I......more

Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from ......more

Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear mo......more

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an unders......more

With the growing advances in technology and transformation to digital services, the world is becoming more connected and......more

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If y......more

This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary......more

In this book, I have presented a mathematical epidemiology model of cholera using differential equations. I have formula......more

This volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and......more