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This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space. The book... Read More >>
This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA... Read More >>
This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection,... Read More >>
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This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are... Read More >>
""Welcome to the exciting world of statistics! We have written this text to make statistics accessible to everyone,... Read More >>
With a clear step-by-step approach explained using real world examples, this book provides the practical skills... Read More >>
These proceedings address the latest developments in the broad area of intelligent construction integrated in the... Read More >>
This book provides information that facilitates integrated climate actions in cities, leveraging disruptive technologies,... Read More >>
This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data... Read More >>
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. The... Read More >>
The Mathieu series is a functional series introduced by Émile Léonard Mathieu for the purposes of his research on... Read More >>
A comprehensive account of different univariate and multivariate discrete and continuous distributions, the work... Read More >>
The book deals with the application of various measures of information like the entropy, divergence, inaccuracy,... Read More >>
This book presents best selected papers presented at the 2nd International Conference on Emerging Trends and Technologies... Read More >>
Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and... Read More >>
This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical... Read More >>
This book highlights the need for studying multi-state models analytically for understanding the physics of molecular... Read More >>
The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and... Read More >>
This book discusses the interplay between statistics, data science, machine learning and artificial intelligence,... Read More >>
This book discusses the principles and practical applications of data science, addressing key topics including data... Read More >>
This book is designed as a textbook for graduate students and as a resource for researchers seeking a thorough mathematical... Read More >>
The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics... Read More >>