<p><p>This is the revised and enlarged 2nd edition of the authorsβ 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 stoch
Stochastic Processes: Inference Theory
β Scribed by M. M. Rao (auth.)
- Publisher
- Springer US
- Year
- 2000
- Tongue
- English
- Leaves
- 655
- Series
- Mathematics and Its Applications 508
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The material accumulated and presented in this volume can be exΒ plained easily. At the start of my graduate studies in the early 1950s, I Grenander's (1950) thesis, and was much attracted to the came across entire subject considered there. I then began preparing for the necesΒ sary mathematics to appreciate and possibly make some contributions to the area. Thus after a decade of learning and some publications on the way, I wanted to write a modest monograph complementing Grenander's fundamental memoir. So I took a sabbatical leave from my teaching position at the Carnegie-Mellon University, encouraged by an Air Force Grant for the purpose, and followed by a couple of years more learning opportunity at the Institute for Advanced Study to complete the project. As I progressed, the plan grew larger needing a substantial background material which was made into an independent initial volume in (1979). In its preface I said: "My intension was to present the following material as the first part of a book treating the InΒ ference Theory of stochastic processes, but the latter account has now receded to a distant future," namely for two more decades! Meanwhile, a much enlarged second edition of that early work has appeared (1995), and now I am able to present the main part of the original plan.
β¦ Table of Contents
Front Matter....Pages i-xvi
Introduction and Preliminaries....Pages 1-18
Principles of Hypothesis Testing....Pages 19-72
Parameter Estimation and Asymptotics....Pages 73-131
Inference for Classes of Processes....Pages 133-222
Likelihood Ratios for Processes....Pages 223-338
Sampling Methods for Processes....Pages 339-381
More on Stochastic Inference....Pages 383-464
Prediction and Filtering of Processes....Pages 465-556
Nonparametric Estimation for Processes....Pages 557-599
Back Matter....Pages 601-645
β¦ Subjects
Probability Theory and Stochastic Processes; Statistics, general; Measure and Integration; Fourier Analysis; Applications of Mathematics
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