Thematic Program on Causal Interpretation and Identification of Conditional Independence Structures
September 1 - November 30, 1999
Description
The aim of this research program is threefold:
- To bring together a group of eminent researchers in subdisciplines of Statistics, Probability, Algebra, Artificial Intelligence, and some areas of applications to improve on the current understanding of the basic structures of Highly Structured Stochastic Systems (HSSS) models.
- To train graduate students in statistics, and researchers in areas of applications, in newly developed techniques. It is particularly important that graduate students be exposed to a variety of disciplines involved in the study of HSSS so that they may take a multidisciplinary approach in their research. In such workshops, students should also update their computational skills to be able to use and understand some of the most recent computational methods.
- To offer short courses, applicable to business, medical or social sciences, to introduce already developed software to non-specialists who are in decision-making positions (i.e. epidemiologists, consultants in investments, sociologists, etc.)
Seminars
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Seminar on Relating Causal Structure to Conditional Independence Structure
July 1, 1999 to June 30, 2000
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Seminar on Learning Causal Models
July 1, 1999 to June 30, 2000
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Seminar on Conditional Independence Structures
July 1, 1999 to June 30, 2000
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Seminar on Algebraic Methods in Graphical Markov Models
July 1, 1999 to June 30, 2000
Special and Public Lectures
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Sewall Wright Lecture Series
October 25 - December 9, 1999
Courses
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Graduate Course on Graphical Markov Models and Related Topics in Multivariate Statistical Analysis
September 20 - October 22, 1999
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Graduate Course on Linear structural equations and graphical models
September 20 - October 1, 1999
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Short Course on Diagnosing and Planning with Bayesian Networks and Influence Diagrams (A Practical Guide)
October 27 - 29, 1999
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Short Course on Graphical Markov Models: Their Role in Statistical Analysis of Data Generating Processes
November 15 - 16, 1999