Course Details
- This course is intended to provide an introduction to Bayesian analysis and MCMC methods, and a fairly detailed tutorial on the use of WinBUGS.
- The emphasis throughout will be on practical examples: software and code to carry out all the analyses will be provided (please see the Software download page). Participants are encouraged to bring their own laptops for the practicals.
- A preliminary programme is as follows:
Introduction to Bayesian analysis using WinBUGS
Timetable
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Day 1
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9.30
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Lecture 1
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Introduction to Bayesian Monte Carlo methods in WinBUGS
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10.30
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Practical 1
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including tea/coffee break
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12.00
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Lecture 2(i)
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Introduction to conjugate Bayesian inference
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13.00
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Lunch
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14.00
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Lecture 2(ii)
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Introduction to conjugate Bayesian inference continued
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14.30
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Lecture 3
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Introduction to MCMC
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15.30
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Practical 2
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including tea/coffee break
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16.30
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Lecture 4
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Introduction to Bayesian regression models
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17.30
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End
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Evening
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Course Dinner in Local Restaurant
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Day 2
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9.45
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Practical 3
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including tea/coffee break
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10.45
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Lecture 5
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Predictions, missing data, model checking, model comparison
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11.45
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Practical 4
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including tea/coffee break
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13.00
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Lunch
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14.00
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Lecture 6
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Introduction to hierarchical models
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15.30
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Practical 5
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including tea/coffee break
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17.00
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End
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