Next Week at the Statistics Seminar: "Methods and Models for Time-Dependent Relational Data"
Next week at the CMU statistics seminar:
- Andrew C. Thomas, "Methods and Models for Time-Dependent Relational Data"
- Abstract: In recent years there has been a proliferation of
relational data, including studies of social networks, where outcomes are
measured over time. Methods that use binary outcomes traditionally rely on
Markov chain assumptions that indicate the generation, maintenance and severing
of network ties, often relying on dichotomized perceptions of relationships. I
present a hierarchical latent variable model for time-dependent relations that
makes use of dynamic programming techniques for its solution, and discuss the
expansion of this model to non-binary ties, with several real and synthetic
examples of social and professional interactions.
- Date and place: Monday, 6 April 2009, 4-5 pm in Porter Hall 125C
Free and open to the public.
Enigmas of Chance
Posted at April 03, 2009 13:37 | permanent link