Stochastic Processes - Inference Theory - Info and Reading Options
By Malempati M. Rao
"Stochastic Processes - Inference Theory" was published by Springer International Publishing AG in 2014, it has 669 pages and the language of the book is English.
“Stochastic Processes - Inference Theory” Metadata:
- Title: ➤ Stochastic Processes - Inference Theory
- Author: Malempati M. Rao
- Language: English
- Number of Pages: 669
- Publisher: ➤ Springer International Publishing AG
- Publish Date: 2014
“Stochastic Processes - Inference Theory” Subjects and Themes:
- Subjects: ➤ Stochastic processes - Fourier analysis - Mathematics - Distribution (Probability theory) - Statistics - Probability Theory and Stochastic Processes - Statistics, general - Measure and Integration - Applications of Mathematics
Edition Specifications:
- Weight: 11.465
- Pagination: xvii, 669
Edition Identifiers:
- The Open Library ID: OL37195828M - OL27367574W
- ISBN-13: 9783319121710
- All ISBNs: 9783319121710
AI-generated Review of “Stochastic Processes - Inference Theory”:
"Stochastic Processes - Inference Theory" Description:
The Open Library:
This is the revised and enlarged 2nd edition of the authors’ original text, which was intended to be a modest complement to Grenander's fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both for stochastic processes and measures, and includes recent material on Ridge regression with some unexpected applications, for example in econometrics. The first three chapters can be used for a quarter or semester graduate course on inference on stochastic processes. The remaining chapters provide more advanced material on stochastic analysis suitable for graduate seminars and discussions, leading to dissertation or research work. In general, the book will be of interest to researchers in probability theory, mathematical statistics and electrical and information theory.
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