| Date |
Speaker |
Title (click for abstract)
|
Comments |
| Sep 13 |
Sean Meyn
(University of Florida) |
Why is Monte-Carlo estimation difficult for skip-free Markov chains, and what to do about it |
|
| Sep 20 |
Sanjay Chaudhuri
(National University of Singapore) |
An Conditional Empirical Likelihood Approach to Combine Sampling Design and Population Level Information |
|
| Oct 11 |
Isabel Molina (Universidad Carlos III de Madrid) |
Small area estimation of general parameters, with application to poverty mapping |
|
| Oct 18 |
Mihai Giurcanu (University of Florida) |
Bootstrap Inference For Misspecified Over-Identified Models |
|
| Oct 25 |
Babette Brumback
(University of Florida) |
Conditional
Pseudolikelihood and Generalized Linear Mixed Model Methods to Adjust for Confounding due to Cluster with Ordinal, Multinomial, or Nonnegative Outcomes and Complex Survey Data |
|
| Oct 30 |
Alin Dobra
(University of Florida) |
R for Large Scale Data Processing |
|
| Nov 8 |
David Bristol
(Statistical Consulting Services, Inc.) |
Two Adaptive Procedures for Comparing Two Doses to Placebo Using Conditional Power |
|
| Nov 15 |
Changbao Wu (University of Waterloo, Canada) |
Semiparametric Fractional Imputation and Sparse and Efficient Replication Variance Estimation for Complex Surveys |
|