This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles an
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction
1 The primary goal of this book is to promote object-oriented design using C# and to illustrate the use of the emerging object-oriented design patterns. Experienced object-oriented programmers find that certain ways of doing things work best and tha
Python参考手册，官方正式版参考手册，chm版。以下摘取部分内容:Navigation index modules | next | Python » 3.6.5 Documentation » Python Documentation contents What’s New in Python What’s New In Python 3.6 Summary – Release highlights New Features PEP 498: Formatted string liter
Compressive sensing is a topic that has recently gained much attention in the applied mathematics and signal processing communities. It has been applied in various areas, such as imaging, radar, speech recognition, and data acquisition. In communica
详细 介绍Fisher 理论, Neyman Pearson理论是不是一回事，它们的区别是什么2
1. Introduction。
The formulation and philosophy of hypothesis testing as we know it today was
largely created by three men: R.A. Fisher (1890-1962), J. Neyman (1894-1981), and
E.S. Pearson(1895-1980)in
经典控制理论教程Analysis and Control of Nonlinear Infinite Dimensional SystemsThis is volume 190 in
MATHEMATICS IN SCIENCE AND ENGINEERING
Edited by William F. Ames, Georgia Institute of Technology
A list of recent titles in this series appears at the end of
