Probability and statistics

This text presents an engaging exposition of the active field of high-dimensional percolation that will likely provide an impetus for future work.

This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages.

This book provides a rigorous yet accessible introduction to the theory of stochastic processes.

This book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications.

The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems.

The main body of this book is devoted to statistical physics, whereas much less emphasis is given to thermodynamics.

This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.

This book discusses the state-of-the-art and open problems in computational finance.

The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space.

Presenting some recent results on the construction and the moments of Levy-type processes, the focus of this volume is on a new existence theorem, which is proved using a parametrix construction.

This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with particular emphasis on their applications to biological models.

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016.

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis.

The monograph compares two approaches that describe the statistical stability phenomenon - one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account.

This book analyses the effectiveness of climate finance as political instrument to reduce the effect of anthropogenic activities on climate change and promote the green growth in developing countries.

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics.

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.

Written by leading experts in an emerging field, this book offers a unique view of the theory of stochastic partial differential equations, with lectures on the stationary KPZ equation, fully nonlinear SPDEs, and random data wave equations.

This book constitutes the thoroughly refereed proceedings of the 24th International Conference on Computer Networks, CN 2017, held in Brunow, Poland, in June 2017.

The articles in this collection are a sampling of some of the research presented during the conference "e;Stochastic Analysis and Related Topics"e;, held in May of 2015 at Purdue University in honor of the 60th birthday of Rodrigo Banuelos.

Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science.

This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs.

This volume constitutes the thoroughly refereed proceedings of the 23rd IFIP WG 1.

This book introduces the fundamentals of research methods and how they apply to the discipline of urban and regional planning.

This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance.

This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges.

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations.

This contributed volume provides readers with an overview of the most recent developments in the mathematical fields related to fractals, including both original research contributions, as well as surveys from many of the leading experts on modern fractal theory and applications.

This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues.

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation.

This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory.

This book gives a compact exposition of the fundamentals of the theory of locally convex topological vector spaces.

This Brief introduces engineers to the main principles in ethics, research design, statistics, and publishing of human subject research.

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques.

The book provides a comprehensive introduction and a novel mathematical foundation of the field of information geometry with complete proofs and detailed background material on measure theory, Riemannian geometry and Banach space theory.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Next Generation Sequencing technology has been applied to clinical diagnoses in the past three to five years using various approaches, including target gene panels and whole exomes.

This proceedings volume compiles and expands on selected and peer reviewed presentations given at the 81st Annual Meeting of the Psychometric Society (IMPS), organized by the University of North Carolina at Greensboro, and held in Asheville, North Carolina, July 11th to 17th, 2016.

This textbook is designed to give an engaging introduction to statistics and the art of data analysis.

This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.

This volume collects latest methodological and applied contributions on functional, high-dimensional and other complex data, related statistical models and tools as well as on operator-based statistics.

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series.

This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications.

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research.

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification.

The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach.