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| # | Title | Type | Language | Download | 
| 1. | 
        (2003). WinBUGS user manual 1.4
   aie WinBUGS User Manual    Version 1 4  January 2003    David Spiegelhalter  Andrew Thomas  Nicky Best  Dave Lunn     1 MRC Biostatistics Unit   Institute of Public Health   Robinson Way   Cambridge CB2 2SR  UK    2 Department of Epidemiology  amp  Public Health   Imperial College School of Medicine   Norfolk Place    London W2 1PG  UK    e mail  bugs mrc bsu cam ac uk  general   andrew thomas ic ac uk  technical     internet  http   www mrc bsu cam ac uk bugs    Permission and Disclaimer   | 
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| 2. | 
        Winbugs
   Winbugs    Introduction    This document is intended to introduce some basic information about Winbugs  We hope by  reading this introductory report  users can have a first look at this statistical software and get  familiar with Winbugs in a short time  Most of the examples used in the report and function  codes are coming from the user   s manual of Winbugs     What is Winbugs    WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo  MCMC   methods  It is ba | 
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| 3. | 
        Getting started with WinBUGS
   Getting started with WinBUGS       James B  Elsner and Thomas H  Jagger  Department of Geography  Florida State University    Some material for this tutorial was taken from http   www unt edu rss class rich 5840 session 1  doc    2    The BUGS Project   Bayesian inference Using Gibbs Sampling        i    fe       p  i    BUGS    http   www mrc bsu cam ac uk bugs        Project          The BUGS Project    welcome    Welcome Page  Latest News    Overview  amp  Demo    WinBUGS    New WinBUGS  | 
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| 4. | 
        WinBUGS User Manual - Department of Mathematics and Statistics
   aie WinBUGS User Manual    Version 1 4  January 2003    David Spiegelhalter  Andrew Thomas  Nicky Best  Dave Lunn     1 MRC Biostatistics Unit   Institute of Public Health   Robinson Way   Cambridge CB2 2SR  UK    2 Department of Epidemiology  amp  Public Health   Imperial College School of Medicine   Norfolk Place    London W2 1PG  UK    e mail  bugs mrc bsu cam ac uk  general   andrew thomas ic ac uk  technical     internet  http   www mrc bsu cam ac uk bugs    Permission and Disclaimer   | 
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| 5. | 
        Chapter 8: Using the WinBUGS interface in MlwiN
   Using the WinBUGS interface in MLwiN    Dr  William Browne    Centre for Multilevel Modelling   Institute of Education    London     22 October 2001     Background to MLwiN    MLwiN is a statistical software package designed to fit multilevel models and  developed at the Institute of Education  It is the latest in a line of multilevel modelling  packages developed over the last 15 years and forerunners include ML2  ML3 and  MLN  It is produced by a team of academics at the Institute under t | 
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| 6. | 
        Introduction to WinBUGS
   em e AppendixBWinbugs fm Page 305 Friday  August 27  2004 11 57 AM    T       Introduction to WinBUGS    B 1 INTRODUCTION    WinBUGS  the MS Windows operating system version of BUGS  Bayesian  Analysis Using Gibbs Sampling  is a versatile package that has been designed to  carry out Markov chain Monte Carlo  MCMC  computations for a wide variety of  Bayesian models  The software is currently distributed electronically from the  BUGS Project website  The address is    http   www mrc bsu cam  | 
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| 7. | 
        WinBUGS practicals (pdf file).
   Introduction to Bayesian Inference  Practical Exercises       You will be using WinBUGS 1 4 1 for these practicals which you should have already  installed on your PC     All the data and other files you will need for the practicals were provided  in a zip file  which you should have unzipped and saved in the directory  C  data     If you didn   t receive this zip archive  and or don   t have WinBUGS installed on your  PC  please ask as we have a copy on a USB memory stick that you can inst | 
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| 8. | 
        WinBUGS: a tutorial
   Overview    WinBUGS  a tutorial    Anastasia Lykou  and loannis Ntzoufras           The reinvention of Markov chain Monte Carlo  MCMC  methods and their  implementation within the Bayesian framework in the early 1990s has established  the Bayesian approach as one of the standard methods within the applied  quantitative sciences  Their extensive use in complex real life problems has lead  to the increased demand for a friendly and easily accessible software  which  implements Bayesian models | 
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