关于高斯随机变量，高斯随机变量函数的分布的总结。 书中列出了很多实用的高斯随机变量函数的统计特性，例如，两个独立的高斯随机变量商的统计特性。很适合当作工具书来查询

( Gaussian Processes for Machine Learning - Rasmussen & Williams.pdf )

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)

这是part2 。使用说明看这里：https://blog.csdn.net/yj13811596648/article/details/88746350

% This folder contains a collection of "fitting" functions. % (Some has demo options - the third section) % The GENERAL input to the functions should be samples of the distribution. % % for example, if we are to fit a normal distribution ('gaussian') with a mean "u" and varaince "sig"^2 % then the samples will distribute like: % samples = randn(1,10000)*sig + u % %fitting with Least-Squares is done on the histogram of the samples. % fitting with Maximum likelihood is done directly on the samples. % % % Contents of this folder % ======================= % 1) Maximum likelihood estimators % 2) Least squares estimators % 3) EM algorithm for estimation of multivariant gaussian distribution (mixed gaussians) % 4) added folders: Create - which create samples for the EM algorithm test % Plot - used to plot each of the distributions (parametric plot) % % % % % % Maximum likelihood estimators % ============================= % fit_ML_maxwell - fit maxwellian distribution % fit_ML_rayleigh - fit rayleigh distribution % (which is for example: sqrt(abs(randn)^2+abs(randn)^2)) % fit_ML_laplace - fit laplace distribution % fit_ML_log_normal- fit log-normal distribution % fit_ML_normal - fit normal (gaussian) distribution % % NOTE: all estimators are efficient estimators. for this reason, the distribution % might be written in a different way, for example, the "Rayleigh" distribution % is given with a parameter "s" and not "s^2". % % % least squares estimators % ========================= % fit_maxwell_pdf - fits a given curve of a maxwellian distribution % fit_rayleigh_pdf - fits a given curve of a rayleigh distribution % % NOTE: these fit function are used on a histogram output which is like a sampled % distribution function. the given curve MUST be normalized, since the estimator % is trying to fit a normalized distribution function. % % % % % Multivariant Gaussian distribution % ================================== % for demo of 1

2019-04-19 新鲜出炉的原创作品 超实用的 Unity 高斯模糊(Gaussian Blur) 在UGUI中[高效][易用][效果棒]的实用方案 原文地址：https://blog.csdn.net/weixin_43452343/article/details/89407650 应该就是你想要

高斯过程回归工具箱，Gaussian process，分别有matlab和octave两个版本

Matlab code for Gaussian Belief Propagation (BP) matlab代码 置信传播算法

Gaussian 09+GaussianView05安装教程，很详细，让你少走弯路