This book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a comprehensive guide, utilising the R programming language to analyse complex datasets efficiently. It provides step-by-step instructi...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Backward Stochastic Volterra Integral Equations (BSVIEs) have evolved into one of the most powerful and flexible mathematical frameworks for modeling systems with memory, timeinconsistency, nonlinear dynamics, and pathdependent uncertainty. Spanning...Loe edasi...
(Ilmumisaeg: 26-Jun-2026, Paperback / softback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783662732205)
This book is your all-in-one guide to understanding mathematics clearly and efficiently. Each page tackles a single, central question with straightforward explanations on the left and practical examples on the right. Ideal for...Loe edasi...
Probably the UKs greatest living statistician Telegraph From the UKs statistical national treasure, a clever and data-driven guide to how we can live with risk and uncertainty We live in a world where uncertainty is inevitable....Loe edasi...
All scientists, researchers and data analysts, who have to handle real data as part of their scientific explorations, have, from time to time, to face to the problem of having to deal with data which do not exactly conform to the model which was e...Loe edasi...
This textbook is second edition of the highly used earlier text containing the same topics, divided similarly into four parts, but with major revisions and using STATA 18 and R (previous version used STATA 15.1). Part I is a discussion on introducto...Loe edasi...
This self-contained book is the first of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods. This volume covers stochastic analysis, option pricing theory, optimal portfo...Loe edasi...
This textbook provides a thorough exposition of measure and integration theory in a style that is very detailed and thus easy to follow and understand. While breaking down argumentation to simple steps and maintaining a consistent exposition, the bo...Loe edasi...
The book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.The reader will also benefit...Loe edasi...
This book brings together the latest research on vibration fatigue and related topics from the first international event entirely dedicated to the field: a symposium held in Udine, Italy, on September 1718, 2025, celebrating the 40th anniversary of...Loe edasi...
This book is an essential reference for researchers and advanced students working in stochastic control, applied probability, mathematical finance, engineering systems, and the growing field of meanfield modeling. Optimal Contr...Loe edasi...
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...Loe edasi...
This new textbook will prepare readers to continue to develop analytical and numerical skills, through the study of a variety of mathematical techniques. The statistical element of this textbook enhances the readers ability to organize and interpret...Loe edasi...
This textbook covers essential topics in quantitative finance, including stochastic calculus, portfolio optimization (static and dynamic), and risk-neutral pricing. Combining financial theory with real-world applications, the book presents a step-...Loe edasi...
This textbook provides a practical, business-focused introduction to regression analysis using Python. It equips readers with the intuition, coding skills, and statistical tools needed to transform raw data into actionable insights. In todays data-d...Loe edasi...
John Maynard Keynes is best known for his contributions to economics, yet he spent nearly two decades exploring the concept of probability. His extensive work culminated in the Treatise on Probability (1921), where he developed a unique notion of pr...Loe edasi...
Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design. This is the first book to systematically cover the basic...Loe edasi...
Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials. Throughout the book there are detailed worked examples to illustrate both ho...Loe edasi...
Multiscale Geographically Weighted Regression (MGWR) is an important method for exploring spatial heterogeneity and modelling local spatial processes in spatial analysis. This book introduces and explains how to model continuous spatial processes wi...Loe edasi...
This proceedings volume presents a collection of fifteen peer-reviewed and expanded articles based on expert talks delivered at two workshops held in September 2023: the RIMS Symposium on Analysis, Geometry and Stochastics on Metric Spaces at the Re...Loe edasi...
This book adopts a language- and culture -as-resource approach and broadens our understanding of diversity which may be observed, heard, and felt in todays mathematics and statistics classrooms. It draws on significant approaches to improving teach...Loe edasi...
In recent decades, the evolution of digital technologies has led to the proliferation of highly distributed, dynamic, and heterogeneous information and communication systems (ICS). Among them, 5G-IoT infrastructures, with their inherently dense to...Loe edasi...
Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthc...Loe edasi...
Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthc...Loe edasi...
This book places an emphasis upon statistical methodology, data interpretation, and futureproofing with the intention of advancing statistics for the environment, ecology, and environmental health, in addition to environmental theory and practice,...Loe edasi...
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As bef...Loe edasi...
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As bef...Loe edasi...
Leverage the power of graphical models for probabilistic and causal inference to build knowledge-based system applications and to address causal effect queries with observational data for decision aiding and policy making. Key Features ...Loe edasi...
This book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a comprehensive guide, utilising the R programming language to analyse complex datasets efficiently. It provides step-by-step instructi...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Backward Stochastic Volterra Integral Equations (BSVIEs) have evolved into one of the most powerful and flexible mathematical frameworks for modeling systems with memory, timeinconsistency, nonlinear dynamics, and pathdependent uncertainty. Spanning...Loe edasi...
(Ilmumisaeg: 26-Jun-2026, Paperback / softback, Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783662732205)
This book is your all-in-one guide to understanding mathematics clearly and efficiently. Each page tackles a single, central question with straightforward explanations on the left and practical examples on the right. Ideal for...Loe edasi...
Probably the UKs greatest living statistician Telegraph From the UKs statistical national treasure, a clever and data-driven guide to how we can live with risk and uncertainty We live in a world where uncertainty is inevitable....Loe edasi...
All scientists, researchers and data analysts, who have to handle real data as part of their scientific explorations, have, from time to time, to face to the problem of having to deal with data which do not exactly conform to the model which was e...Loe edasi...
This textbook is second edition of the highly used earlier text containing the same topics, divided similarly into four parts, but with major revisions and using STATA 18 and R (previous version used STATA 15.1). Part I is a discussion on introducto...Loe edasi...
This self-contained book is the first of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods. This volume covers stochastic analysis, option pricing theory, optimal portfo...Loe edasi...
This textbook provides a thorough exposition of measure and integration theory in a style that is very detailed and thus easy to follow and understand. While breaking down argumentation to simple steps and maintaining a consistent exposition, the bo...Loe edasi...
How dangerous is our diet? How much of sports falls into the realm of luck? When authorities categorize a given event as “highly likely”—how likely is that, really? Whether we’re trying to decide if the benefits of a new medication are worth the c...Loe edasi...
The book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.The reader will also benefit...Loe edasi...
This book brings together the latest research on vibration fatigue and related topics from the first international event entirely dedicated to the field: a symposium held in Udine, Italy, on September 1718, 2025, celebrating the 40th anniversary of...Loe edasi...
This book is an essential reference for researchers and advanced students working in stochastic control, applied probability, mathematical finance, engineering systems, and the growing field of meanfield modeling. Optimal Contr...Loe edasi...
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...Loe edasi...
This new textbook will prepare readers to continue to develop analytical and numerical skills, through the study of a variety of mathematical techniques. The statistical element of this textbook enhances the readers ability to organize and interpret...Loe edasi...
This textbook covers essential topics in quantitative finance, including stochastic calculus, portfolio optimization (static and dynamic), and risk-neutral pricing. Combining financial theory with real-world applications, the book presents a step-...Loe edasi...
This textbook provides a practical, business-focused introduction to regression analysis using Python. It equips readers with the intuition, coding skills, and statistical tools needed to transform raw data into actionable insights. In todays data-d...Loe edasi...
John Maynard Keynes is best known for his contributions to economics, yet he spent nearly two decades exploring the concept of probability. His extensive work culminated in the Treatise on Probability (1921), where he developed a unique notion of pr...Loe edasi...
Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design. This is the first book to systematically cover the basic...Loe edasi...
Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials. Throughout the book there are detailed worked examples to illustrate both ho...Loe edasi...
Multiscale Geographically Weighted Regression (MGWR) is an important method for exploring spatial heterogeneity and modelling local spatial processes in spatial analysis. This book introduces and explains how to model continuous spatial processes wi...Loe edasi...
This proceedings volume presents a collection of fifteen peer-reviewed and expanded articles based on expert talks delivered at two workshops held in September 2023: the RIMS Symposium on Analysis, Geometry and Stochastics on Metric Spaces at the Re...Loe edasi...
This book adopts a language- and culture -as-resource approach and broadens our understanding of diversity which may be observed, heard, and felt in todays mathematics and statistics classrooms. It draws on significant approaches to improving teach...Loe edasi...
In recent decades, the evolution of digital technologies has led to the proliferation of highly distributed, dynamic, and heterogeneous information and communication systems (ICS). Among them, 5G-IoT infrastructures, with their inherently dense to...Loe edasi...
Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthc...Loe edasi...
Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthc...Loe edasi...
This book places an emphasis upon statistical methodology, data interpretation, and futureproofing with the intention of advancing statistics for the environment, ecology, and environmental health, in addition to environmental theory and practice,...Loe edasi...
