Learning Multivariate Distributions by Competitive Assembly of Marginals
Sponsor(s):
Statistical Science
Friday, March 22, 2013
3:30 pm - 4:30 pm
Laurent Younes, Johns Hopkins University, Department of Applied Mathematics and Statistics
DataFest 2013
Sponsor(s):
Statistical Science
Saturday, March 23, 2013
9:00 am - 11:30 pm
See description
DataFest 2013
Sponsor(s):
Statistical Science
Sunday, March 24, 2013
9:00 am - 6:00 pm
See description
Scalable Nonparametric Bayes Learning
Sponsor(s):
Statistical Science
Tuesday, March 26, 2013
10:00 am - 11:00 am
Anjishnu Banerjee, Duke University Statistical Science
Approximate Bayesian Computation for Complex Dynamics Systems
Sponsor(s):
Statistical Science
Friday, March 29, 2013
9:00 am - 10:00 am
Fernando Bonassi, Duke University Statistical Science
Identification and Inference on Regressions with Missing Covariate Data
Sponsor(s):
Statistical Science
Friday, March 29, 2013
3:30 pm - 4:30 pm
Joe Hotz and Federico Bugni, Duke University, Department of Economics
Space and Space-Time Modeling of Directional Data
Sponsor(s):
Statistical Science
Wednesday, April 03, 2013
12:30 pm - 1:30 pm
Fangpo Wang, Duke University Statistical Science
The Misspecified Bayesian
Sponsor(s):
Statistical Science
Friday, April 05, 2013
3:30 pm - 4:30 pm
Stephen Walker, University of Kent, Institute of Mathematics, Statistics and Actuarial Science
Marginalized MCMC Samplers for Normalized Random Measure Mixture Models
Sponsor(s):
Statistical Science
Friday, April 12, 2013
3:30 pm - 4:30 pm
Yee Whye Teh, Oxford University, Dept of Statistics
Bayesian Hierarchical Models for Model Choice
Sponsor(s):
Statistical Science
Monday, June 24, 2013
2:00 pm - 3:00 pm
Yingbo Li, Duke University Statistical Science
Structured Bayesian Learning through Mixture Models
Sponsor(s):
Statistical Science
Friday, June 28, 2013
10:00 am - 11:00 am
Francesca Petralia, Duke University Statistical Science
Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models
Sponsor(s):
Statistical Science
Friday, September 06, 2013
3:30 pm - 4:30 pm
Sam Kou, Department of Statistics, Harvard University
Unsupervised Ranking and Ensemble Learning
Sponsor(s):
Statistical Science
Friday, September 13, 2013
3:30 pm - 4:30 pm
Boaz Nadler, Department of Computer Science and Applied Mathematics Weizmann Institute of Science
Towards Scalable Bayesian Inference
Sponsor(s):
Statistical Science
Friday, September 20, 2013
3:30 pm - 4:30 pm
Babak Shahbaba, University of California, Irvine
Duke Machine Learning Seminar Series
Sponsor(s):
Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), and Statistical Science
Wednesday, September 25, 2013
3:30 pm - 4:30 pm
Sham Kakade, Microsoft Research
Applications of Bayesian statistics in ecology and evolutionary biology
Sponsor(s):
Statistical Science
Friday, September 27, 2013
3:30 pm - 4:30 pm
Otso Ovaskainen, University of Helsinki
Duke Machine Learning Seminar Series
Sponsor(s):
Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), and Statistical Science
Wednesday, October 02, 2013
3:30 pm - 4:30 pm
Pradeep Ravikumar, UT Austin
Distributed maximum likelihood estimation for discrete log-linear graphical models
Sponsor(s):
Statistical Science
Friday, October 04, 2013
3:30 pm - 4:30 pm
Helene Massam, Department of Mathematics and Statistics, York University
Duke Machine Learning Seminar Series
Sponsor(s):
Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), and Statistical Science
Wednesday, October 09, 2013
3:30 pm - 4:30 pm
Tom Griffiths, UC Berkeley
Bayesian Smoothing of Multivariate Models
Sponsor(s):
Statistical Science
Friday, October 18, 2013
3:30 pm - 4:30 pm
Dongchu Sun, Department of Statistics Univeristy of Missouri-Columbia
We Know Who You Are: A Bayesian Approach to Graphical Record Linkage
Sponsor(s):
Statistical Science
Friday, October 25, 2013
3:30 pm - 4:30 pm
Rebecca Steorts, Visiting Assistant Professor Department of Statistics Carnegie Mellon University
Bootstrapping for Learning Statistics
Sponsor(s):
Statistical Science
Thursday, October 31, 2013
3:05 pm - 4:05 pm
Tim Hesterberg, Google
Statistics and Big Data at Google
Sponsor(s):
Statistical Science
Thursday, October 31, 2013
4:30 pm - 5:30 pm
Tim Hesterberg, Google
Measuring Ideological Proportions in Political Speeches
Sponsor(s):
Statistical Science
Friday, November 01, 2013
3:30 pm - 4:30 pm
Justin H. Gross
Statistical challenges and opportunities in the analysis of neural data
Sponsor(s):
Statistical Science
Friday, November 08, 2013
3:30 pm - 4:30 pm
Liam Paninski
The Estimation of Spatially Varying Coecients via a Spatial GLMM with Application to Multiple Sclerosis MRI data
Sponsor(s):
Statistical Science
Friday, November 15, 2013
3:30 pm - 4:30 pm
Tim Johnson, Dept. of Biostatistics, University of Michigan
Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures and Latent Variables
Sponsor(s):
Statistical Science
Monday, November 18, 2013
1:00 pm - 2:00 pm
Jared Murray, Duke University Statistical Science
Exchanging Bips for Flops and Bits: Computational Tradeoffs in Statistical Learning
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), and Statistical Science
Monday, November 18, 2013
3:30 pm - 4:30 pm
John Lafferty
On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-Homogeneous Computer Models
Sponsor(s):
Statistical Science
Thursday, November 21, 2013
11:30 am - 12:30 pm
Silvia Montagna, Duke University Statistical Science
Bayesian Structural Phylogenetics
Sponsor(s):
Statistical Science
Friday, November 22, 2013
8:30 am - 9:30 am
Christopher Challis, Duke University Statistical Science
Bayesian Modeling and Adaptive Monte Carlo with Geophysics Applications
Sponsor(s):
Statistical Science
Friday, November 22, 2013
12:30 pm - 1:30 pm
Jianyu Wang, Duke University Statistical Science
Robust Estimation of Causal Effects with Application to Erythropoiesis-stimulating Agents for End-stage Renal Disease
Sponsor(s):
Statistical Science
Friday, November 22, 2013
3:30 pm - 4:30 pm
Roee Gutman, Department of Biostatistics, Brown University, Providence, RI
More Events
(40 of 939)
