Probability & Statistics

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it con...

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learni...

This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to stu...

This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochasti...

This book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The b...

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, in...

The second edition of this successful and widely recognized textbook again focuses on discrete topics. The author recognizes two distinct paths of ...

This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, dat...

Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are large...

Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are large...

This book addresses a wide range of recent methodological aspects, applications and best practices of statistics production. It comprises a selecti...

This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with a...

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024,...

This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with ...

This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with ...

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems....

This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientif...

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical softw...

Introducing a groundbreaking framework for stochastic partial differential equations (SPDEs), this work presents three significant advancements ove...

This proceedings volume compiles selected, revised papers presented at the 53rd SouthEastern International Conference on Combinatorics, Graph Theor...

As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in findi...

This book provides an overview and compilation of contemporary topics and innovative approaches in biostatistical modeling through their applicatio...

The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for materi...