关于泊松点过程的生成方法-Generating Homogeneous Poisson Processes - PDF.pdf 在百度上看很多人问平面内泊松点怎么生成，以前我也迷茫的很久，刚好今天找到一个很有用的方法，分享给大家！ Report1_POISSON_Prog.pdf 泊松点生成

上概率论时用的教材，从基本的概率知识到随机过程都有涉及，作为概率的入门还是很不错的一个选择。

经典教材的详细答案，让你学习不在苦恼，不在彷徨，让你赢在起跑线上。

高斯过程 回归 分类的经典书籍还有相关的工具包 Gaussian Processes for Machine Learning Carl Edward Rasmussen Christopher K. I. Williams The MIT Press

高斯过程回归与分类 的经典程序 与The MIT Press出版的书籍的程序代码 (书籍可参考我上传的pdf文档)

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.

Fourth Edition，Henry Stark Illinois Institute of Technology John W. Woods Rensselaer Polytechnic Institute

kkphoon文章给出了基于K-L展开的非高斯非平稳随机过程模拟（kkphoon的该篇文章在matlab中的实现可在我另一份上传资源里找到，对于协方差函数的特征函数与特征值的数值解，另一份资源中也将给出）

The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics, to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.

Probability And Random Processes For Electrical And Computer Engineers 的习题答案 该书作者是：John A. Gubner, 剑桥大学出版社