Transcript Introduction to BayesLAB

BAYESLAB (Class Project)
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Bin Shi
HM Chen
Ying Hung
What’s BayesLab
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BayesLab is a set of Matlab scripts which illustrate and
facilitate of Bayesian data analysis.
Most of the files are developed and compiled by Prof.
Brani Vidakovic, and are Copyright of GeorgiaTech.
Part of the BayesLab come from various sources which
is credited in the m-files.
BayesLab is developed with engineering applications
in mind.
It is downloadable.
Architecture of BayesLab
BayesLAB
Rand
Tools
Demos
Data
Architecture-Cont’d
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“Rand”------ Important probability distribution functions,
random number generators, and percentile functions
are included.
“Tools” ------ Common used tools in this BayesLAB,
such as wavelet transform
“Demos”----- Metropolis, Gibbs, Ising Model, Logistic
regression, random effects, Extreme-value statistics,
EM, BAMS
“Data” ----- Typical data sets used in BayesLab
Installation-Step 1
(1)After you unzip you should have the following
subdirectory structure:
Bayeslab/Rand
Bayeslab/Demo
Bayeslab/Tools
Bayeslab/Data
Installation-Step 2
(2) Copy these unzip files to
yourMatlabFolder/toolbox/
Installation-Step 3
(3) Make it sure that you have
yourMatlabFolder/toolbox/Bayeslab/Rand
yourMatlabFolder/toolbox/Bayeslab/Demo
yourMatlabFolder/toolbox/Bayeslab/Tools
yourMatlabFolder/toolbox/Bayeslab/Data
Installation-Step 4
(4) Go to yourMatlabFolder/toolbox/local and see
if you have startup.m
Installation-Step 5
(5) If you do not have startup.m, creat a new
startup.m and save it in
yourMatlabFolder/toolbox/local
Installation-Step 6
(6) Copy the following to the existed or newly created
startup.m
addpath yourMatlabFolder/toolbox/Bayeslab/Rand
addpath yourMatlabFolder/toolbox/Bayeslab/Demo
addpath yourMatlabFolder/toolbox/Bayeslab/Tools
addpath yourMatlabFolder/toolbox/Bayeslab/Data
Questions?
Thanks!!!