This book PDF is perfect for those who love Business & Economics genre, written by Evarist Giné and published by Cambridge University Press which was released on 25 April 2024 with total hardcover pages 705. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Mathematical Foundations of Infinite Dimensional Statistical Models books below.
| Author | : Evarist Giné |
| File Size | : 43,6 Mb |
| Publisher | : Cambridge University Press |
| Language | : English |
| Release Date | : 25 April 2024 |
| ISBN | : 9781107043169 |
| Pages | : 705 pages |
This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including mathematical foundations and key decision-theoretic principles.
This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including mathematical foundations and key decision-theoretic principles.
Get BookStatistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning,
Get BookBayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.
Get BookThis is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, and rotatability—defined as invariance in distribution under contractions, permutations, and rotations. Originating with the pioneering work of de Finetti from the 1930's, the theory has evolved into a unique body of deep, beautiful,
Get BookThis book is intended for use in a rigorous introductory PhD level course in econometrics.
Get BookThis modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
Get BookAn integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Get BookTaken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It
Get Book