The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in...Loe edasi...
This open access volume discusses advanced tools and techniques for the analysis and prediction of environmental variables with a spatial or spatio-temporal structure. In various environmental science applications, developing models that accurately...Loe edasi...
This volume presents a curated collection of contributions from the Go20 Conference on Scientific Computing and Software, held May 2024, 2024, in Gozo, Malta. Go20 is an exclusive, invitation-only event limited to 20 participants, designed to foster...Loe edasi...
The book offers a concise, accessible guide to Vector Autoregression (VAR) models. Starting with data preparation, the book demonstrates how VAR models are estimated, the criteria for selecting the number of lags and how the re...Loe edasi...
This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning ou...Loe edasi...
Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, and in the recent past, the arrival of artificial intelligence (AI) technologies and tools to extract actionable insights out of...Loe edasi...
This edited volume provides a comprehensive exploration of neutrosophic methodologies, emphasizing their computational frameworks, theoretical advancements, and practical applications. It aims to make neutrosophic theory more accessible and applic...Loe edasi...
This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addresses real-world challenges such as irregular...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 open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data...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...
Sustainable Financial Structured Products: Managing Risk Appetite across Modelling, Structuring, and Hedging gives an overview of all relevant aspects of Financial Structured Products (i.e. long-term savings products) from the risk perspect...Loe edasi...
This Element examines how to weigh tiny probabilities of huge gains or losses in moral decision-making. It critiques both fanaticism and anti-fanaticism, defending a middle view: rationality allows flexibility while often requiring expected value re...Loe edasi...
(Ilmumisaeg: 30-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009571609)
This Element examines how to weigh tiny probabilities of huge gains or losses in moral decision-making. It critiques both fanaticism and anti-fanaticism, defending a middle view: rationality allows flexibility while often requiring expected value 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...
This volume contains eight survey articles by the invited speakers of the 31st British Combinatorial Conference, one of the major international events in combinatorics. Written by leading experts in the field, these articles provide a snapshot of cu...Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on...Loe edasi...
(Ilmumisaeg: 28-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...
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...
This book is a guide to project financing, primarily used to fund infrastructure projects. While it focuses on electricity projects, its insights can be applied across various sectors. It employs a P&L statement as a framework for approaching deals,...Loe edasi...
This book shows how to conduct statistical power analysis when the underlying research data are unreliable and explores how sample design effects, measurement error, and equating error impact power analysis. As such, it covers unreliability in test...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...
Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aimin...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 applie...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...
Sari: Cambridge Series in Statistical and Probabilistic Mathematics
(Ilmumisaeg: 25-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009651721)
This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour...Loe edasi...
This book describes a range of models for ecological data sets using both classical and Bayesian methods of inference, and illustrates their u...Loe edasi...
This book examines the issues of misclassification in epidemiology. It includes some solutions to the old and new issues of misclassification in a variety of epidemiologic design studies. The book is separated into five parts: Part I focu...Loe edasi...
This open access volume discusses advanced tools and techniques for the analysis and prediction of environmental variables with a spatial or spatio-temporal structure. In various environmental science applications, developing models that accurately...Loe edasi...
This volume presents a curated collection of contributions from the Go20 Conference on Scientific Computing and Software, held May 2024, 2024, in Gozo, Malta. Go20 is an exclusive, invitation-only event limited to 20 participants, designed to foster...Loe edasi...
The book offers a concise, accessible guide to Vector Autoregression (VAR) models. Starting with data preparation, the book demonstrates how VAR models are estimated, the criteria for selecting the number of lags and how the re...Loe edasi...
This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning ou...Loe edasi...
Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, and in the recent past, the arrival of artificial intelligence (AI) technologies and tools to extract actionable insights out of...Loe edasi...
This edited volume provides a comprehensive exploration of neutrosophic methodologies, emphasizing their computational frameworks, theoretical advancements, and practical applications. It aims to make neutrosophic theory more accessible and applic...Loe edasi...
This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addresses real-world challenges such as irregular...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 open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data...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...
Sustainable Financial Structured Products: Managing Risk Appetite across Modelling, Structuring, and Hedging gives an overview of all relevant aspects of Financial Structured Products (i.e. long-term savings products) from the risk perspect...Loe edasi...
(Ilmumisaeg: 30-Jun-2026, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978872)
Winner of the Atmospheric Science Librarians International Choice Award as the best book of 2013, Mathematics and Climate emphasizes conceptual models that capture critical components of Earths climate system and answers how and why certain phenome...Loe edasi...
This Element examines how to weigh tiny probabilities of huge gains or losses in moral decision-making. It critiques both fanaticism and anti-fanaticism, defending a middle view: rationality allows flexibility while often requiring expected value re...Loe edasi...
(Ilmumisaeg: 30-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009571609)
This Element examines how to weigh tiny probabilities of huge gains or losses in moral decision-making. It critiques both fanaticism and anti-fanaticism, defending a middle view: rationality allows flexibility while often requiring expected value 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...
This volume contains eight survey articles by the invited speakers of the 31st British Combinatorial Conference, one of the major international events in combinatorics. Written by leading experts in the field, these articles provide a snapshot of cu...Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on...Loe edasi...
(Ilmumisaeg: 28-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...
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...
This book is a guide to project financing, primarily used to fund infrastructure projects. While it focuses on electricity projects, its insights can be applied across various sectors. It employs a P&L statement as a framework for approaching deals,...Loe edasi...
This book shows how to conduct statistical power analysis when the underlying research data are unreliable and explores how sample design effects, measurement error, and equating error impact power analysis. As such, it covers unreliability in test...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...
Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aimin...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 applie...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...
Sari: Cambridge Series in Statistical and Probabilistic Mathematics
(Ilmumisaeg: 25-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009651721)
This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour...Loe edasi...
