Browsing by Department "Statistics and Decision Sciences"
Now showing items 1-3 of 3
-
Conditions for Rapid and Torpid Mixing of Parallel and Simulated Tempering on Multimodal Distributions
(2007-09-14)Stochastic sampling methods are ubiquitous in statistical mechanics, Bayesian statistics, and theoretical computer science. However, when the distribution that is being sampled is multimodal, many of these techniques converge ... -
Model Selection and Multivariate Inference Using Data Multiply Imputed for Disclosure Limitation and Nonresponse
(2007-12-07)This thesis proposes some inferential methods for use with multiple imputation for missing data and statistical disclosure limitation, and describes an application of multiple imputation to protect data confidentiality. ... -
Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling
(2008-12-12)One of the biggest challenges in spatiotemporal modeling is indeed how to manage the large amount of missing information. Data augmentation techniques are frequently used to infer about missing values, unobserved or latent ...
