The next statistics seminar will take place on
29 November at 3:10pm, room JCMB5323.
Iain Murray (School of Informatics, University of Edinburgh)
"Flexible models for density estimation"
Abstract
Statistical modelling often involves representing high-dimensional
probability distributions. The textbook baseline methods, such as
mixture models (non-parametric Bayesian or not), don't always use data
efficiently. The machine learning literature has proposed various
alternatives, such as Gaussian process density models and undirected
neural network models, that are often too computationally expensive to
use. Using a few case-studies, I will argue for increased use of
flexible autoregressive models as a strong baseline for general use.
There will be wine and nibbles after the talk.
This seminar is joint with BioSS, and it is a part of Maxwell institute
seminar series.
Website: http://www.maths.ed.ac.uk/events/statistics
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