Stochastics

The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory.

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection.

In this book biological examples of Branching Processes are introduced from molecular and cellular biology as well as from the fields of human evolution and medicine and discussed in the context of the relevant mathematics, providing a useful introduction on how the modelling can be done and for what types of problems branching processes can be useful.

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics.

The most recent methods in various branches of lattice path and enumerative combinatorics along with relevant applications are nicely grouped together and represented in this research contributed volume.

For decades, casino gaming has been steadily increasing in popularity worldwide.

This book presents introductions to the essential mathematical aspects of complexity science, suitable for advanced undergraduate/masters-level students and researchers.

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Cumulative sum (CUSUM) control charting is a valuable tool for detecting and diagnosing persistent shifts in series of readings.

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks.

Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today.

In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies.

Now in its second edition, this book introduces an approach to active system control.

Asymptotic analysis of stochastic stock price models is the central topic of the present volume.

Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences.

A user-friendly introduction for mathematicians to some of the principal stochastic models near the interface of probability and physics.

A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.

This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data.

This book provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science.

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas.

The concept of dependence permeates the Earth and its inhabitants in a most profound manner.

Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between di?

Provides a comprehensive analysis of stochastic dominance through coverage of concepts, methods of estimation, inferential tools, and applications.

Written with computer scientists and engineers in mind, this book brings queueing theory decisively back to computer science.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Dynamical systems with random influences occur throughout the physical, biological, and social sciences.

Reviews recent developments in the analysis of isotropic spherical random fields, with a view towards applications in cosmology.

Kolmogorov equations are a fundamental bridge between the theory of partial differential equations and that of stochastic differential equations that arise in several research fields.

A unique introduction to reproducing kernel Hilbert spaces, covering the fundamental underlying theory as well as a range of applications.

This book addresses aspects of stochastic quantization for researchers in fields from computational neuroscience through to electronic engineering.

Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work.

This best-selling title provides in one handy volume the essential mathematical tools and techniques used to solve problems in physics.

The first comprehensive account of controlled diffusions with a focus on ergodic or ''long run average'' control.

This textbook offers an approachable introduction to stochastic processes that explores the four pillars of random walk, branching processes, Brownian motion, and martingales.

This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems.

This book provides the reader with a background on simulating copulas and multivariate distributions in general.

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor.

The purpose of this volume is to explore new bridges between different research areas involved in the theory and applications of the fractional calculus.

"e;This book addresses mathematical problems motivated by various applications in physics, engineering, chemistry and biology.

This handbook focuses on some important topics from Number Theory and Discrete Mathematics.

This book concerns the identi?