Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science...
Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers...
Game-theoretic probability and finance come of age. Glenn Shafer and Vladimir Vovk?s Probability and Finance, published in 2001, showed that perfect-information games can be used to define...
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof . Long memory time series are characterized by a strong...
A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis. Nonlinear Time Series Analysis offers an important guide to both parametric and...
Written by the leading expert in the field, this text reviews the major new developments in envelope models and methods . An Introduction to Envelopes provides an overview of the theory and...
Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function. This book addresses...
Over the past several decades, computational approaches to studying strongly-interacting systems have become increasingly varied and sophisticated. This book provides a comprehensive introduction...
08-2016 —
Print on demand —
217 p. —
15.5x23.5 cm —
Probability theory on compact Lie groups deals with the interaction between ?chance? and ?symmetry,? a beautiful area of mathematics of great interest in its own sake but which is now also finding...
Probability theory on compact Lie groups deals with the interaction between ?chance? and ?symmetry,? a beautiful area of mathematics of great interest in its own sake but which is now also finding...
This lecture is meant as an introduction to stochastic mechanics for graduate students. The concepts and most of the statements are formulated in precise and exact mathematical language...