Bayesian

It can be seen as a introduction to Bayesian classification, or Matlab plotting.function ret = drawBayesGauss2D(mu,c,prProb,ax)% Draw Bayes classification results for 2D Gaussian distributions.% mu: 2-by-N, mean vector for N classes.% c: 2-by-2-by-N, cov matrices.% prProb: 1-by-N, prior...

Gibbs sampler for sampling from the invariance Normal Inverse Gaussian distribution. (Bayesian scheme of Karlis & Lillestol (2004))

As a famous sub-structure of Bayesian network, causal polytree is able to recover the causality very efficiently. Here, I implement pearl's classical algorithm here for easy using. Details can be seen in Pearl's paper[1]. To recover general Causal polytree, one can download "Fisher's exact test"...


Platforms: Matlab

The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using Theil-Goldberger mixed estimation.Estimation uses...


Platforms: Matlab

Now written completely by m file, no need for compilation.


Platforms: Matlab

Dynamic Bayesian networks (DBN) are widely applied in modeling various biological networks, including the gene regulatory network. Due to several NP-hardness results on learning static Bayesian network, most methods for learning DBN are heuristic, that employ either local search such as greedy...


Platforms: Matlab

This code implements a Markov chain Monte Carlo algorithm which automatically and efficiently tunes the proposal distribution to the covariance structure of the target distribution. This is achieved while maintaining the target distribution as the stationary distribution of the Markov chain. The...


Platforms: Matlab

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided...


Platforms: Matlab

Implementation of the generic particle filterArulampalam et. al. (2002). A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing. 50 (2). p 174--188


Platforms: Matlab

With this GUI you can find the best distribution that fits your data.1. Save the Main_FitDistribution_GUI.fig and Main_FitDistribution_GUI.m files at the same directory.2. Run the Main_FitDistribution_GUI.m file.3. Load data using the "Load Data" button. The file should be a text file with 1...


Platforms: Matlab

What does this plugin do: Allow your site users to rate posts (of any kind) Display the average post rating, vote count or weighted (bayesian) rating within your posts Display a widget with the top rated posts in your sidebar Allow you to create your own rating formulaWhy another rating plugin?...


Platforms: PHP

The C++ library for bioinformatics and artificial intelligence. Basic abstractions (like attribute, domain, state, etc.), DNA primitives (Nucleotide, Chain, EnergyNucleo, SecStruct, FoldedChain, FoldedPair, Codon, CodonAminoTable, Nussinov algorithm), population genetics primitives (Allele,...


Platforms: Mac

QSB is a computational tool developed for genetical genomics, an emerging field that combines quantitative genetics and genomics. QSB takes marker genotype data and expression microarray data of a segregating population as input and identify the significant QTLs that module gene expression. DNA...


Platforms: Mac

Recent studies describe that the level of gene expression between species is positively correlated with the time that has passed since the species split from a common ancestor (Ranz et al., 2006). Moreover, Khaitovich et al. (2004) found a linear relationship between divergence time and...


Platforms: Mac

Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.


Platforms: *nix

TaQuilla enables "soft tags" on messages, which are tags set by Bayesian analysis of the message content. Once you enable soft tagging of a particular tag, and train a few messages, then the tag is applied automatically to future messages.


Platforms: *nix

602LAN SUITE is an easy-to-install and manage all-in-one network software suite providing secure e-mail services with anti-virus & anti-spam, fax support, built-in firewall with NAT and web content filter proxy for controlled Internet sharing. Combine the content based Bayesian antispam filter,...


Platforms: Windows

This highly personalized Outlook email filter can block over 99% of spam and junk email. Yet, it makes sure that you don't miss the mail you need to see. How? Unlike most anti-spam products, InBoxer builds unique filters that based on your mail folders. Uses Bayesian and other advanced language...


Platforms: Windows

InboxShield filters your incoming mail and separates good mail from Spam mail. Thanks to it's Intelligent Filtering Technology (Bayesian), InboxShield learns as you are receiving mail. So the more you use InboxShield, the better it performs! You can add buddies and enemies, keywords, block...


Platforms: Windows

Disruptor OL is a Plug-In (better: COM add-in) for Outlook 2000 and 2002 (resp. Outlook XP). Right after the installation and next start of Outlook you get a powerful spam filter with impressive results. If one spam message is missed, it's easy to check why. And even more easy to see, what...


Platforms: Windows