Selected events in fall 2013

David Carlson
Duke
Real-Time Inference for a Gamma Process Model of Neural Spiking
Neurostat seminar
11 Sep 2013

John Paisley
Columbia
Variational Inference and Big Data
Neurostat seminar
18 Sep 2013

Vladimir Vapnik
NEC
Teacher-Student Learning Model
Neurotheory seminar
20 Sep 2013

Donald Pianto
Columbia
Dealing with monotone likelihood in a model for speckled data
Neurostat seminar
25 Sep 2013

Dean Eckles
Facebook
Design and analysis of experiments in networks
Neurostat seminar
2 Oct 2013

Mitya Chklovskii
Janelia
Understanding neural computation using insights from connectomics and theory
Neurotheory seminar
4 Oct 2013

Rahul Mazumder
Columbia
Low-rank Matrix Regularization: Statistical Models and Large Scale Algorithms
Neurostat seminar
9 Oct 2013

Yann LeCun
NYU
Learning Representations of the Perceptual World
Neurotheory seminar
11 Oct 2013

Workshop
Quantifying structure in large neural datasets
See link for details.
16-18 Oct 2013

Tian Zheng
Columbia
Latent Space Model for Aggregated Relational Data
Neurostat seminar
23 Oct 2013

Mijung Park
UT Austin
Bayesian learning methods for neural coding
Neurostat seminar
30 Oct 2013

Wei Ji Ma
NYU
Bayesian psychophysics
Neurostat seminar
6 Nov 2013

Dana Pe'er
Columbia
Revealing tumor heterogeneity between and within tumors
Neurostat seminar
13 Nov 2013

Yves Atchade
Columbia
Bayesian inference for doubly intractable distributions
Neurostat seminar
20 Nov 2013

Eero Simoncelli
NYU
Embedding of Prior Probabilities in Sensory Systems
Neurotheory seminar
13 Dec 2013

Bob Carpenter
Columbia
Stan: A Statistical Modeling Language and Compiler
Neurostat seminar
18 Dec 2013