Probability and statistics

This book constitutes the refereed conference proceedings of the 7th International Conference on Finite Difference Methods, FDM 2018, held in Lozenetz, Bulgaria, in June 2018.

This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community.

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.

Modern marketing managers need intuitive and effective tools not just for designing strategies but also for general management.

This book provides computational tools that readers can use to flourish in the retirement income industry.

This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018.

This book constitutes the proceedings of the 14th International Conference on Queueing Theory and Network Applications, QTNA 2019, held in Ghent, Belgium, in August 2019.

The 2017 PIMS-CRM Summer School in Probability was held at the Pacific Institute for the Mathematical Sciences (PIMS) at the University of British Columbia in Vancouver, Canada, during June 5-30, 2017.

This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.

This book constitutes the refereed proceedings of the 22nd International Conference on Distributed and Computer and Communication Networks, DCCN 2019, held in Moscow, Russia, in September 2019.

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series.

Probabilistic Safety Assessment (PSA) is a structured, comprehensive, and logical analysis method aimed at identifying and assessing risks in complex technological systems, such as the nuclear power plants.

This book offers a multidisciplinary perspective on perceived safety.

Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems.

This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Web and Internet Economics, WINE 2018, held in Oxford, UK, in December 2018.

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice.

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 books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation.

This Handbook takes an econometric approach to the foundations of economic performance analysis.

This book, fully updated for Python version 3.

This book is intended to be a useful contribution for the modern teaching of applied mathematics, educating Industrial Mathematicians that will meet the growing demand for such experts.

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language.

This SpringerBrief deals with a class of discrete-time zero-sum Markov games with Borel state and action spaces, and possibly unbounded payoffs, under discounted and average criteria, whose state process evolves according to a stochastic difference equation.

This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019.

This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

This volume collects the extended versions of papers presented at the SIS Conference "e;Statistics and Data Science: new challenges, new generations"e;, held in Florence, Italy on June 28-30, 2017.

This book proposes a review of Long-Term Care insurance; this issue is addressed both from a global point of view (through a presentation of the risk of dependence associated with the aging of the population) and an actuarial point of view (with the presentation of existing insurance products and actuarial techniques for pricing and reserving).

This book constitutes the refereed proceedings of the First Challenge in Adolescent Brain Cognitive Development Neurocognitive Prediction, ABCD-NP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

Focusing on recent advances in option pricing under the SABR model, this book shows how to price options under this model in an arbitrage-free, theoretically consistent manner.

This book provides a foundation for modern applied ecology.

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.

This book contains revised selected papers from the 25th International Conference on Selected Areas in Cryptography, SAC 2018, held in Calgary, AB, Canada in August 2018.

This book provides an overview of the theories and applications on subgroups in the biopharmaceutical industry.

This monograph compiles the contemporary knowledge about D-norms and provides an introductory tour through the essentials of multivariate extreme value theory.

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods.

This book is the first volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.

Presenting a novel biomimetic design method for transferring design solutions from nature to technology, this book focuses on structure-function patterns in nature and advanced modeling tools derived from TRIZ, the theory of inventive problem-solving.

This book presents state-of-the-art solution methods and applications of stochastic optimal control.

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This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016.

This book focuses on the development of three novel approaches to build up a framework for the frequency domain analysis and design of nonlinear systems.

The field of risk science continues to learn from the long history of events to develop principles and practices that enable individuals, organizations, and societies to understand and manage future risk.

This book explores the concept of complementation in the adjectival domain of English grammar.

A common question posed to PhD students from friends and family is, "e;What will you do after?

This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation.

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

The stability analysis of stochastic models for telecommunication systems is an intensively studied topic.

This book offers a comprehensive and systematic review of the latest research findings in the area of intuitionistic fuzzy calculus.

This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics.

After years of neurohype and a neuroskeptic backlash, this book provides a systematic analysis of the contributions to self-understanding cognitive neuroscience (CNS) and philosophy can make.