***Complex, Hypercomplex, and Fuzzy-Valued Neural Networks***are extensions of classical neural networks to higher dimensions. In recent decades, this theory has emerged as a forefront in neural net……続きを見る
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the know……続きを見る
Iterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that ……続きを見る
This open access book focuses on the Ginibre ensembles that are non-Hermitian random matrices proposed by Ginibre in 1965. Since that time, they have enjoyed prominence within random matrix theory, ……続きを見る
This E-Book + version contains the following enhancements:
10 videos, one for each section explaining the corresponding contents.
The book Graph Theory and Decomposition covers major areas of the de……続きを見る
Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel fun……続きを見る
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Pro……続きを見る
This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling compo……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
Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conven……続きを見る
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource
Machine Learning for Time Series Forecasting with Python is an incisive and straightfor……続きを見る
Updated and revised throughout, this new edition of The Science of Soccer applies scientific analysis to football, giving us the answers to questions like "what's the chance of a team that wins the ……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
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requ……続きを見る
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student ……続きを見る
著者:Charles Wheelan
出版社: W. W. Norton & Company
発売日: 2012年12月31日
The best-selling author of Naked Economics defies the odds with a book about statistics that you’ll welcome and enjoy.
Once considered tedious, the field of statistics is rapidly evolving into a dis……続きを見る
著者:James T. Lamiell
出版社: Springer International Publishing
発売日: 2019年03月27日
This book is a strenuous critique of the misinterpretation of statistical knowledge of populations in mainstream psychology, exploring the implications of assuming that those statistics constitute s……続きを見る
Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster ra……続きを見る
From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrat……続きを見る
著者:Gilles Pisier
出版社: Cambridge University Press
発売日: 2020年02月27日
Based on the author's university lecture courses, this book presents the many facets of one of the most important open problems in operator algebra theory. Central to this book is the proof of the e……続きを見る
著者:James E. Gentle
出版社: Springer International Publishing
発売日: 2017年10月12日
This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and c……続きを見る
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together ……続きを見る
This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are ……続きを見る
A new edition of the definitive guide to logistic regression modeling for health science and other applications
This thoroughly expanded Third Edition provides an easily accessible introduction to t……続きを見る
著者:E. T. Jaynes
出版社: Cambridge University Press
発売日: 2015年11月10日
The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical……続きを見る
This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical con……続きを見る
There is growing recognition that statistics should be part of the core curriculum for the compulsory schooling of all children, leading to a now urgent need for teachers to be trained in both stati……続きを見る
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format
Statistical intervals provide invalua……続きを見る
The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for……続きを見る
Need some help solving statistics problems? Here’s an answer! A highly reliable resource created by our educational experts. This handy compilation of need-to-know Statistics formulas, equations and……続きを見る