Probability and statistics

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks.

Analyzing the phase transition from diffusive to localized behavior in a model of directed polymers in a random environment, this volume places particular emphasis on the localization phenomenon.

This volume gathers selected peer-reviewed papers presented at the international conference "e;MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance"e;, held in Paris (France) at the Universite Paris-Dauphine from March 30 to April 1, 2016.

This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities.

This is the only book discussing multifractal properties of densities of stable superprocesses, containing latest achievements while also giving the reader a comprehensive picture of the state of the art in this area.

Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks.

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science.

This monograph looks at causal nets from a philosophical point of view.

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts.

This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut.

This book provides a survey on different kinds of Feistel ciphers, with their definitions and mathematical/computational properties.

This book presents a detailed study of a system of interacting Brownian motions in one dimension.

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems.

This book generalizes and extends the available theory in robust and decentralized hypothesis testing.

This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration.

This book offers an introduction to the theory of non-autonomous and stochastic dynamical systems, with a focus on the importance of the theory in the Applied Sciences.

This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models.

In this thesis, the author develops numerical techniques for tracking and characterising the convoluted nodal lines in three-dimensional space, analysing their geometry on the small scale, as well as their global fractality and topological complexity---including knotting---on the large scale.

The present volume develops the theory of integration in Banach spaces, martingales and UMD spaces, and culminates in a treatment of the Hilbert transform, Littlewood-Paley theory and the vector-valued Mihlin multiplier theorem.

This book is an extension of the author's first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN).

Our time is characterized by an explosive growth in the use of ever more complicated and sophisticated (computer) models.

This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes.

This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications.

This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium in December 2016.

This book reports a literature review on kaizen, its industrial applications, critical success factors, benefits gained, journals that publish about it, main authors (research groups) and universities.

The classical theory of random walks describes the asymptotic behavior of sums of independent identically distributed random real variables.

This book presents the proceedings from ECONOPHYS-2015,an international workshop held in New Delhi, India, on the interrelated fieldsof econophysics and sociophysics , which have emerged from the applicationof statistical physics to economics and sociology.

This book constitutes the refereed proceedings of the Second International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2016, held in Beijing, China, in November 2016.

This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals.

This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology.

This brief treats dynamical systems that involve delays and random disturbances.

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view.

This volume consists of papers inspired by the special session on pseudo-differential operators at the 10th ISAAC Congress held at the University of Macau, August 3-8, 2015 and the mini-symposium on pseudo-differential operators in industries and technologies at the 8th ICIAM held at the National Convention Center in Beijing, August 10-14, 2015.

This is a unique volume by a unique scientist, which combines conceptual, formal, and engineering approaches in a way that is rarely seen.

The canonical way to establish the central limit theorem for i.

This book contains selected contributions presented at the 10th International Geostatistics Congress held in Valencia from 5 to 9 September, 2016.

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.

Focusing on p-adic and adelic analogues of pseudodifferential equations, this monograph presents a very general theory of parabolic-type equations and their Markov processes motivated by their connection with models of complex hierarchic systems.

This is the third edition of this well-received textbook, presenting powerful methods for measuring insurance liabilities and assets in a consistent way, with detailed mathematical frameworks that lead to market-consistent values for liabilities.

This book constitutes the proceedings of the 4th International Workshop on Foundational and Practical Aspects of Resource Analysis, FOPARA 2015, held in London, UK, in April 2015.

This book constitutes the refereed proceedings of the 13th European Workshop on Computer Performance Engineering, EPEW 2016, held in Chios, Greece, in October 2016.

This book constitutes the joint refereed proceedings of the 16th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2016, and the 9th Conference on Internet of Things and Smart Spaces, ruSMART 2016, held in St.

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.

This book offers a high-level treatise of evidence-based decisions in drug development.

This Festschrift resulted from a workshop on "e;Advanced Modelling in Mathematical Finance"e; held in honour of Ernst Eberlein's 70th birthday, from 20 to 22 May 2015 in Kiel, Germany.

This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data.

This textbook on practical data analytics unites fundamental principles, algorithms, and data.

This book serves as a hands-on guide to the "e;acs"e; R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data.

This research monograph brings together, for the first time, the varied literature on Yosida approximations of stochastic differential equations (SDEs) in infinite dimensions and their applications into a single cohesive work.

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.