Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference......more

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Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-ro......more

Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-ro......more

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This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecula......more

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Innovation Diffusion Models Understand innovation diffusion models and their role in business success Innovation diffusi......more

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IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel ......more

Every finance professional wants and needs a competitive edge. A firm foundation in advanced mathematics can translate i......more

Every finance professional wants and needs a competitive edge. A firm foundation in advanced mathematics can translate i......more

This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve......more

This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identificat......more

This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers al......more

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Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to g......more

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to g......more

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This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation ......more

Life is full of uncertainty, risk, opportunity, and randomness. How can we gain an edge in our decision-making? There is......more

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing g......more

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing g......more

Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningfu......more

This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary system......more

More data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions ......more

Artificial Intelligence, Volume 49 in the Handbook of Statistics series, highlights new advances in the field, with this......more

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (B......more

There has been considerable attention to making the methodologies of structural equation modeling available to researche......more

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This edited book is the first one written in English that deals comprehensively with behavior metrics. The term "behavio......more

This open access book offers an introduction to mixed generalized linear models with applications to the biological scie......more

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This is the first technical book that considers tests as public tools and examines how to engineer and process test data......more

This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in colleg......more

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analys......more

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ......more

Use JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create them......more

This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery......more

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in wha......more

This book presents an introduction to the main concepts of statistical physics, followed by applications to specific pro......more

I began this book with the express purpose of making it the definitive comparison of Secretariat and Man o’ War. I feel ......more

An award-winning history of the Enlightenment quest to devise a mathematical model of rationality What did it mean to be......more

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools ar......more

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a ne......more

This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary as......more

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Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods......more

This book provides a general framework for learning sparse graphical models with conditional independence tests. It incl......more

This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in t......more

This book extends the local central limit theorem to Markov chains whose state spaces and transition probabilities are a......more

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in ......more

Regularization in machine learning is the wheel that assists deployment in production. This book not only provides tools......more

This book constitutes the proceedings of First International Workshop, TML4H 2023, held virtually, in May 2023. The 16 f......more

Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost ......more

This book constitutes the proceedings of the 12th International Conference on Electronic Government and the Information ......more

The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing......more

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). ......more

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on ......more

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on ......more

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This book focuses on methods and models in classification and data analysis and presents real-world applications at the ......more

In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook pr......more

In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook pr......more

This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and fro......more

This book is a concise introduction to the stochastic calculus of variations for processes with jumps. The author provid......more

Statistical inference is a powerful tool for understanding data, and this book provides a clear and accessible introduct......more

Gain a strong foundation in statistics with Claire Holly Fryer’s introductory text. From probability theory to hypothesi......more

Statistical inference is a powerful tool for understanding data, and this book provides a clear and accessible introduct......more

This comprehensive and accessible book covers all the basic statistical methods necessary for undergraduate and postgrad......more