Probability and statistics

This bookhighlights the latest research findings from the 46th International Meeting ofthe Italian Statistical Society (SIS) in Rome, during which both methodologicaland applied statistical research was discussed.

This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM).

This book is an in-depth guide to effective scientific research.

This volume contains lecture notes from the coursesgiven by Vlad Bally and Rama Cont at the Barcelona Summer School on StochasticAnalysis (July 2012).

Inmedical and health care the scientific method is little used, and statisticalsoftware programs are experienced as black box programs producing lots ofp-values, but little answers to scientific questions.

This book features research contributions fromThe Abel Symposium on Statistical Analysis for High Dimensional Data, held inNyvagar, Lofoten, Norway, in May 2014.

This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them.

This manuscript sets out a process for estimating fatalities in collapsed buildings due to ground shaking in an earthquake.

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests.

This book offers a comprehensive guide to the modelling of operational risk using possibility theory.

Thisbook constitutes the refereed proceedings fo the 14th International Scientific Conferenceon Information Technologies and Mathematical Modeling, named after A.

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player.

Collecting together twenty-three self-contained articles, this volume presents the current research of a number of renowned scientists in both probability theory and statistics as well as their various applications in economics, finance, the physics of wind-blown sand, queueing systems, risk assessment, turbulence and other areas.

A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book.

This book explores event-based estimation problems.

This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as  significant scheduling problems that occur in the real world.

This book constitutes the thoroughly refereedpost-conference proceedings of the 10th International Conference on Large-ScaleScientific Computations, LSSC 2015, held in Sozopol, Bulgaria, in June 2015.

This textbook introduces readers to practical statisticalissues by presenting them within the context of real-life economics andbusiness situations.

This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems.

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This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics.

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning.

Providing an elementary introduction to branching random walks, the main focus of these lecture notes is on the asymptotic properties of one-dimensional discrete-time supercritical branching random walks, and in particular, on extreme positions in each generation, as well as the evolution of these positions over time.

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data.

The book contains solutions to fundamental problems which arise due to the logic of development of specific branches of science, which are related to pipeline safety, but mainly are subordinate to the needs of pipeline transportation.

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.

This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation.

This brief is concerned with tempered stable distributions and their associated Levy processes.

This monograph provides a concise presentation of a mathematical approach to metastability, a wide-spread phenomenon in the dynamics of non-linear systems - physical, chemical, biological or economic - subject to the action of temporal random forces typically referred to as noise, based on potential theory of reversible Markov processes.

This book presents recent advances in the field of shape analysis.

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio.

The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice.

This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively.

This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively.

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists.

Statistical tools to analyze correlated binary data are spread out in the existing literature.

The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA).

This book provides a brief and general introduction to cybersecurity and cyber-risk assessment.

This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians.

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.

This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics.

This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved.

This book constitutes the refereed proceedings of the 12th European Workshop on Computer Performance Engineering, EPEW 2015, held in Madrid, Spain, in August/September 2015.

This three-chapter volume concerns the distributions of certain functionals of Levy processes.

This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA.

Covering both classical and quantum approaches, this unique and self-contained book presents the most recent developments in the theory of quadratic stochastic operators and their Markov and related processes.

This volume, which highlights recent advances in statistical methodology and applications, is divided into two main parts.

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods.

This book provides an introduction to the theory of stochastic partial differential equations (SPDEs) of evolutionary type.

The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise.