Probability and statistics

This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.

This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space.

Intangible, invisible and worth trillions, risk is everywhere.

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR).

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems.

Many descriptions of empathy revolve around sharing in and understanding another person's emotions.

This book is an exploration of the integration-differentiation dynamics that result in a drive, or impulse, toward human sociality, arguing that our need to connect with other people is as fundamental as our need for food and shelter.

This book is designed as a textbook for graduate students and as a resource for researchers seeking a thorough mathematical treatment of its subject.

This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis.

This textbook provides basic quantitative models allowing researchers and decision makers to a) assess viability of threatened populations and evaluate the success of species reintroductions, b) estimate invasion abilities of alien species, c) evaluate the persistence of metapopulations subjected to habitat destruction and fragmentation, d) analyze policies and strategies for the sustainable harvesting of biological resources, and e) assess the course of human and nonhuman diseases and the possible containment measures.

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus.

This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data.

This book constitutes revised selected papers of the 20th International Conference on Information Technologies and Mathematical Modelling, ITMM 2021, named after A.

This book is the result of extensive archival research conducted on the Collection "e;Silvano Arieti Papers"e; held in the Manuscript Division of the Library of Congress, Washington, D.

The investigation of the role of mechanical and mechano-chemical interactions in cellular processes and tissue development is a rapidly growing research field in the life sciences and in biomedical engineering.

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 monograph studies a series of mathematical models of the evolution of a population under mutation and selection.

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science.

This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource.

This book provides the statistical basis for quantitative risk management by presenting and explaining the most important distributions.

This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects.

Stochastic elasticity is a fast developing field that combines nonlinear elasticity and stochastic theories in order to significantly improve model predictions by accounting for uncertainties in the mechanical responses of materials.

This book provides an overview of the role of statistics in Risk Analysis, by addressing theory, methodology and applications covering the broad scope of risk assessment in life sciences and public health, environmental science as well as in economics and finance.

This book explores recent topics in quantitative finance with an emphasis on applications and calibration to time-series.

Historically researchers of neuroscience and psychology have believed that the cerebral cortex produces the unique mental capacities of human beings.

This book examines the best available empirical evidence regarding one of the most challenging and pervasive questions throughout ages, cultures, and religions: the survival of human consciousness after death.

This book constitutes a selection of the best papers from the 15th International Conference on Business Excellence, Digital Economy and New Value Creation, ICBE 2021, held in Bucharest, Romania, in March 2021.

This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology.

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.

This proceedings volume gathers selected, peer-reviewed papers presented at the 41st International Conference on Infinite Dimensional Analysis, Quantum Probability and Related Topics (QP41) that was virtually held at the United Arab Emirates University (UAEU) in Al Ain, Abu Dhabi, from March 28th to April 1st, 2021.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.

This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output.

This book provides a comprehensive treatment of the logic behind hypothesis testing.

Mathematics and statistics are the bedrock of modern science.

T?

The SIR - model supported by a new density and its derivatives receive a statistical data background from frequency distributions, from whose parameter values over the new density distribution a quality-oriented probability of the respective infection process and its future can be concluded.

This book provides a practical introduction to mathematics for economics using R software.

Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses.

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19-23, 2021.

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference.

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy.

Many people living with epilepsy also suffer from debilitating psychiatric and cognitive disorders.

A problem factory consists of a traditional mathematical analysis of a type of problem that describes many, ideally all, ways that the problems of that type can be cast in a fashion that allows teachers or parents to generate problems for enrichment exercises, tests, and classwork.

This text provides an introduction to the applications and implementations of partial differential equations.

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement.

Book V completes the discussion of the first four books by treating in some detail the analytic results in elliptic operator theory used previously.

The main result of this book is a proof of the contradictory nature of the Navier-Stokes problem (NSP).

This is an introductory book on continuous statistical distributions and its applications.

This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but wish to know how they work.

This is the second part of our book on continuous statistical distributions.