Probability 43

The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroecon……続きを見る

This book presents recent findings on central and non-central limit theorems for Toeplitz and tapered Toeplitz random quadratic functionals of stationary processes, with applications in spectral-bas……続きを見る

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having be……続きを見る

The book explains the foundation of regression models in compelling narratives without using complex formulas. It communicates regression techniques by crafting stories that drive strategic action. ……続きを見る

Ever wonder why large groups of people remember the same facts differently? The Mandela Effect explores this strange phenomenon where collective memories don't match reality. From famous misquotes i……続きを見る

This volume features a collection of papers and lecture notes from the “XIV Symposium on Probability and Stochastic Processes,” held at the Center for Research in Mathematics (CIMAT), Mexico, in Nov……続きを見る

Most of the supervised learning techniques for classification are developed throughout this book from a methodological point of view and from a practical point of view with applications through Pyth……続きを見る

This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and ……続きを見る

Recent breakthroughs in volatility modelling have brought fractional stochastic calculus to a groundbreaking position. Readers of Fractional S(P)DEs will find a unique and comprehensive overview enc……続きを見る

Why are there more poor people with small bank accounts than rich people with big bank accounts? Why are there more small planets and stars than big ones in the cosmos? And why are there more small ……続きを見る

One of the important problems in studying stochastic phenomena is to develop stochastic models and understand their implications behind the phenomenon. Long range dependence is an important stochast……続きを見る

This volume presents state-of-the-art developments in theoretical and applied fluid mechanics. Chapters are based on lectures given at a workshop in the summer school "Stochastics in Fluids", held i……続きを見る

This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis te……続きを見る

Gain expertise in modern time series forecasting and causal inference in R to solve real-world business problems with reproducible, high-quality codeKey FeaturesExplore forecasting and causal infere……続きを見る

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis ……続きを見る

A comprehensive survey of the dominant methods for separating perceptual from decisional effects and for studying perceptual interactions. Human performance in any perceptual or cognitive task can c……続きを見る

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for under……続きを見る

This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and con……続きを見る

Since the publication of the second edition of Richard Plant’s bestselling textbook Spatial Data Analysis in Ecology and Agriculture Using R, the methodology of spatial data analysis and the suite o……続きを見る

Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others……続きを見る

An up-to-date and accurate discussion of spiking neural P systems in time series analysis In Spiking Neural P Systems for Time Series Analysis, the authors explore the fundamentals and the current s……続きを見る

This book provides an in-depth study of queueing game models, involving interdisciplinary fields such as queueing theory, game theory, optimization theory, statistics, and economics. Studies on queu……続きを見る

Dieses Buch bietet eine prägnante und zugleich rigorose Einführung in die Wahrscheinlichkeitstheorie. Aus den möglichen Zugängen zum Thema wurde der modernste Ansatz auf Grundlage der Maßtheorie gew……続きを見る

This book of selected works exhibits a significant part of Carlos A. Coelho’s research activity in multivariate statistics, focusing on topics related to likelihood ratio tests. After two introducto……続きを見る

Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational ap……続きを見る

An expert integration of digital twin technology and advanced simulation methods for the design and optimization of electronic packaging systems In Stochastic Finite Element Modeling in Electronic P……続きを見る

Long Memory Time Series Analysis is a comprehensive text which covers long memory time series with the different long memory time series discussed. The authors cover modelling and forecasting using ……続きを見る

This book tackles the complexities of integer-valued time series analysis, focusing on over-dispersion, excess zeros, and non-stationarity. It explores high-ordered INAR(p) models with diverse thinn……続きを見る

This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted. It details methods for developing new distr……続きを見る

This book is directed towards graduate students to introduce them to statistical thinking and act as a basis for their statistical research methodology. It takes the reader from the foundations of s……続きを見る