Bayesian Statistical Principles

Statistical Analysis and Inference Software for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable Interface, Calculator, Live Spell Check,...

SpamAid is an easy-to-use MS Outlook add-on to protect your Inbox against spam. The program is based on Bayesian filtering technology. It automatically learns using your personal correspondence to increase the filtration accuracy. Quarantined e-mails are stored in a separate SPAM folder. Users...

Multi lingual, Open Source, Comprehensive interactive statistical and scientific computing package. Builtin object oriented programming language, many GUI front ends available (http://www.sciviews.org/_rgui/), manuals, comprehensive help pages, 2D and 3D graphics (gallery at...


Platforms: *nix, Windows

Junk-Out keeps junk mail out of your Microsoft Outlook Inbox, using a combination of statistical methods (Bayesian filtering) and information you provide, to show only e-mail messages you want to see. The more you use Junk-Out, the better it gets at distinguishing useful e-mail, and getting junk...


Platforms: Windows

A general purpose C++ library for Bayesian Filtering. Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition.


Platforms: Windows, Mac, Linux

Public domain portable Naive Bayesian message filter aimed towards C programmers.


Platforms: Windows, Mac, Linux

Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).


Platforms: *nix

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/


Platforms: Windows, Mac, Linux

The bogofilter package implements a fast Bayesian spam filter assuggested by Paul Graham in 'A Plan For Spam'. It is written in C. Supported platforms: Linux, FreeBSD, Solaris, OS X, HP-UX, AIX, RISC-OS, ...


Platforms: Mac, BSD, Solaris, Linux

dbacl is a general purpose digramic Bayesian text classifier. It can learn text documents you provide, and then compare new input with the learned categories. It can be used for spam filtering, or within your own shell scripts. Sometimes it plays che


Platforms: Mac, BSD, Solaris, Linux

You can filter your email using a bayesian like statistical method. Written in 100% Python, easily extensible, and is used as a pop3 proxy to reduce the intrusion on your system.


Platforms: Windows, Mac, Linux

SPAM-Buster is a Java application for filtering SPAM based on statistical algorithms (currently Bayesian). The platform independant application can be used as graphical end-user client and additional service for mail server.


Platforms: Windows, Mac, Linux

Fast, intelligent, automatic spam detector using Paul Graham style Bayesian analysis of word counts in spam and non-spam emails. Filtering adapts to personal tastes automatically. No manual rule creation required. Intended for use with procmail, maild


Platforms: Mac, BSD, Solaris, Linux

A proof-of-concept application of the Statistical Protocol IDentification (SPID) algorithm. SPID can detect the application layer protocol (layer 7) by analysing flow (packet sizes etc.) and payload statistics (byte values etc.) from pcap files.


Platforms: Windows, Mac, Linux

This script is a Python module implementing a class which can be used for computing numerical statistics for a given data set.This recipe implements a descriptive statistical analysis class. It's intended to aid in computing numerical statistics for a given data set. It's well documented and...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

From the paper :Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.It uses an a disjoint-sets data structure with a union-find strategy: http://en.wikipedia.org/wiki/Disjoint-set_data_structureJust run srmdemo.m...


Platforms: Matlab

To walk through the code and for a thorough description, refer toA. Meucci (2009) , "Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck",Latest version of article and code available at http://symmys.com/node/132


Platforms: Matlab

Bayesian Model Averaging for linear models under Zellner's g prior. Options include: fixed (BRIC, UIP, ...) and flexible g priors (Empirical Bayes, hyper-g), 5 kinds of model prior concepts, and model sampling via model enumeration or MCMC samplers (Metropolis-Hastings plain or reversible jump)....


Platforms: Matlab

Bayesian analysis is often hard to implement. While working on sequential experimental design for GLM, we suggested a simple implementation that numerically assesses the posterior in cases where the closed form of the Bayesian posterior is hard to formulate, exploiting a discretization of the...


Platforms: Matlab

To walk through the code and for a thorough description, refer to A. Meucci (2005), "Robust Bayesian Allocation".Latest version of article and code available at http://symmys.com/node/102


Platforms: Matlab