mloss | Projects that are tagged with sampling.

BLOG 0.9.1

by jxwuyi - April 27, 2015, 06:52:05 CET [ ] 9811 views, 2146 downloads, 0 subscriptions

About: Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real world objects.

Changes:

Initial Announcement on mloss.org.

Authors: Brian Milch, Yi Wu, Lei Li, Stuart Russell
License: Bsd
Programming Language: Java, Scala

Operating System: Linux, Windows, Ubuntu, Mac Os
Data Formats: Various
Tags: Sampling, Probabilistic Models, Bayesian Inference, Generic Programming

Metropolis Hastings algorithm 1.0.0

by openpr_nlpr - December 2, 2011, 05:43:20 CET [ ] 6524 views, 1778 downloads, 0 subscriptions

About: Metropolis-Hastings alogrithm is a Markov chain Monte Carlo method for obtaining a sequence of random samples from a probability distribution for which direct sampling is difficult. Thi sequence can be used to approximate the distribution.

Changes:

Initial Announcement on mloss.org.

Authors: Gong Xing
License: Bsd
Programming Language: C++

Operating System: Linux
Data Formats: None
Tags: Sampling, Distribution

Sampling from multivariate correlated binary and poisson random variables 1.0

by phb - July 10, 2008, 09:39:49 CET [ ] 11024 views, 2440 downloads, 0 subscriptions

About: You can use the software in this package to efficiently sample from

Changes:

Initial Announcement on mloss.org.

Authors: Jakob Macke, Philipp Berens, Alexander Ecker, Andreas Tolias, Matthias Bethge
License: Gpl Version 3
Programming Language: Matlab

Operating System: Agnostic
Data Formats: None
Tags: Binary, Dichotomized Gaussian, Poisson, Sampling

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BLOG 0.9.1

Metropolis Hastings algorithm 1.0.0

Sampling from multivariate correlated binary and poisson random variables 1.0