A stochastic programming perspective on nonparametric Bayes thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

A stochastic programming perspective on nonparametric Bayes

Published on Aug 04, 20084168 Views

We use Church, a Turing-universal language for stochastic generative processes and the probability distributions they induce, to study and extend several objects in nonparametric Bayesian statistic

Related categories