Probability and statistics

Modern statistics is very different from the dry and dusty discipline of the popular imagination.

Modern statistics is very different from the dry and dusty discipline of the popular imagination.

Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works.

Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works.

This textbook introduces the fundamental concepts and methods of statistical learning.

'This is a solid mathematical treatment of some topics in the analysis of change-point models.

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems.

The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

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This volume LNCS 15277 constitutes the refereed proceedings of the 18th Ibero-American Conference on AI, IBERAMIA 2024, held in Montevideo, Uruguay, during November 13-15, 2024.

Mixed-effects models have found broad applications in various fields.

Constructing Insurable Risk Portfolios offers a data-driven approach to devising risk retention programs that safeguard firms from a multitude of risks.

With data and AI increasingly at the forefront of business today, you have a significant advantage when you can manage data, and uncover and communicate data insights effectively.

Bridging the gap between theoretical asset pricing and industry practices in factors and factor investing, Zhang et al.

This book provides a broad introduction to the optimization techniques used in the design and manufacturing of epicyclic gearing.

This textbook introduces the fundamental concepts and methods of statistical learning.

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain.

Based on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events.

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory.

A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.

Mixed-effects models have found broad applications in various fields.

The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches.

This volume LNCS 15277 constitutes the refereed proceedings of the 18th Ibero-American Conference on AI, IBERAMIA 2024, held in Montevideo, Uruguay, during November 13-15, 2024.

Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization.

This book provides a broad introduction to the optimization techniques used in the design and manufacturing of epicyclic gearing.

The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches.

This book aims to introduce readers without a strong mathematical background to the basic ideas of fuzzy set theory and logic.

This title is part of UC Presss Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact.

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics.

A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors.

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems.

This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

With data and AI increasingly at the forefront of business today, you have a significant advantage when you can manage data, and uncover and communicate data insights effectively.

This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory.

For every problem, mathematical or otherwise, there is more than one approach and much depends on the ingenuity of the person concerned.

Research data management is becoming more complicated.