# 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

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