Convex Analysis in Polynomial Spaces with Applications is intended to serve a broad audience of undergraduate and graduate students, junior and senior researchers, and as a general self-study guide ……続きを見る
Vivemos em um mundo onde a tomada de decisões precisa ser cada vez mais ágil, fundamentada e estratégica. Em meio a esse cenário, a Estatística se apresenta como uma das ferramentas mais poderosas p……続きを見る
Focusing on Habitable Earth for sustainability, this book develops novel and sophisticated deep learning algorithms and explores their successful application in intelligent prediction and recognitio……続きを見る
This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformativ……続きを見る
This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the……続きを見る
This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring a……続きを見る
This open access book discusses the theory and methods of hypergraph computation.
Many underlying relationships among data can be represented using graphs, for example in the areas including compute……続きを見る
In this research monograph, two empirical studies are presented, whose aim is to explore the linguistic cues to deception in written English and Spanish using computational tools like ALIAS WISER an……続きを見る
Dive into the heart of causal inference with Econometrics Unveiled Deeply! This book is your guide to mastering advanced econometrics. It explores the quest for causality in economic analysis. You’l……続きを見る
Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geog……続きを見る
This book provides an overview of the risk components of CoCo bonds. CoCos are hybrid financial instruments that convert into equity or suffer a write-down of the face value upon the appearance of a……続きを見る
This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original mater……続きを見る
Virtually every engineer and scientist must be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and ……続きを見る
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information scie……続きを見る
This book describes some approaches for developing the numerical models to efficiently predict the formation of extreme waves which can pose a threat to the safety of marine structures. The numerica……続きを見る
Este libro está diseñado para ser una brújula que guíe a estudiantes de licenciatura y posgrado a través del extenso y a veces intimidante terreno de la estadística aplicada. La estadística a menudo……続きを見る
Americans are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants,……続きを見る
This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance. The Financial Mathematics of Market Liqu……続きを見る
A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, fr……続きを見る
Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantita……続きを見る
The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreov……続きを見る
著者:Emmanuel Kowalski
出版社: Cambridge University Press
発売日: 2021年03月31日
Despite its seemingly deterministic nature, the study of whole numbers, especially prime numbers, has many interactions with probability theory, the theory of random processes and events. This surpr……続きを見る
The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the ben……続きを見る
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and ……続きを見る
An accessible guide to the multivariate time series tools used in numerous real-world applications
Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel……続きを見る
Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distrib……続きを見る
著者:Martin Auer
出版社: Springer International Publishing
発売日: 2018年03月06日
This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall. It outlines the model's (i) underlying math……続きを見る
Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its applica……続きを見る
The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling. By focusing more on the financial intuition of the applications rather than the math……続きを見る
This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic f……続きを見る