Probability and statistics

This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2019, held in Milan, Italy, in September 2019.

These Notes grew from my research in evolutionary biology, specifically on the theory of evolutionarily stable strategies (ESS theory), over the past ten years.

A textbook for a graduate course in the theory of distributions and related topics, for students of applied mathematics or theoretical physics.

Empirical process techniques for independent data have been used for many years in statistics and probability theory.

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science.

At present, quantitative ecological risk assessment is widely used in different contexts, however very often without an understanding of the natural mechanisms that drive the processes of environmental and human risk.

The book presents statistical methods and models that can usefully support the ev- uation of educational services and quality of products.

This book constitutes the joint refereed proceedings of the 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and the 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019.

Presents elements of clinical trial methods that are essential in planning, designing, conducting, analyzing, and interpreting clinical trials with the goal of improving the evidence derived from these important studies This Third Edition builds on the text s reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials.

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data.

Developments in multimedia database management have exploded during the past decade.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.

Health economics is concerned with the study of the cost-effectiveness of health care interventions.

30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives.

The aim of this book is to give an up to date account of the most commonly uses statisti- cal models for categorical data.

Matrix algebra plays a very important role in statistics and in many other dis- plines.

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings.

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods.

This book encompasses the study of hybrid switching di usion processes and their applications.

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular machine learning methods.

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology.

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations.

This book is a collaborative effort from three workshops held over the last three years, all involving principal contributors to the vine-copula methodology.

This book constitutes the joint refereed proceedings of the 17th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, the 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017.

This user guide presents a popular smoothing tool with practical applications in machine learning, engineering, and statistics.

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference.

Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs.

The Fifth Purdue International Symposium on Statistical Decision The- was held at Purdue University during the period of ory and Related Topics June 14-19,1992.

Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph structure.

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes.

Visualizing Surveys in R is about creating static, print quality figures from survey data using R.

This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology.

During the past twenty years spatial statistics has experienced important developments and has been applied in many fields of science.

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness.

This third edition is a revised, updated, and greatly expanded version of previous edition of 2001.

This book covers many helpful analysis tools and processes to assist energy managers (EMs) administer their energy program through their meter management system (MMS).

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them.

Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications.

Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation.

In this monograph the narrow topology on random probability measures on Polish spaces is investigated in a thorough and comprehensive way.

When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"e;; ``I expect that the relation between Y and both X1 and X2 is positive"e;; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2"e;.

This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension.

Most approaches to crime analysis focus on geographical crime mapping, which is helpful in identifying crime clusters and allocating police resources, but does not explain why a particular crime took place.

This book discusses equi-quantile values and their use in generating decision alternatives under the twofold complexities of uncertainty and dependence, offering scope for surrogating between two alternative portfolios when they are correlated.