Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"Sequential importance sampling"”.
-
Sampling for conditional inference on contingency tables, multigraphs, and high dimensional tables
We propose new sequential importance sampling methods for sampling contingency tables with fixed margins, loopless, undirected multigraphs, and high-dimensional tables. In each case, the proposals for the method are constructed by leveraging approximations to the total number of structures (tables, …
-
Variational approximation for importance sampling and statistical inference on social influence
… problems. Social network analysis plays an importance role in many fields. In this dissertation, we focus on improving the efficiency of importance sampling, detecting the degrees of influence in networks, and exploring properties of generalized Erd\H{o}s-R\'enyi model. In the first part of …
-
Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
… and psychometrics. This thesis develops several sampling algorithms to address open issues in network analysis and educational assessments. The first problem we investigate is network motif detection. Network motifs are substructures that appear significantly more often in the given network than …
-
Statistical inference on network data
… this dissertation, we study problems on network sampling, network modeling and data mining on networks. Random graphs with given vertex degrees have been widely used as a model for many real-world complex networks. However, both statistical inference and analytic study of such networks present …
-
Feedback particle filter and its applications
… which is a Monte Carlo algorithm based on sequential importance sampling. Although it is potentially applicable to a general class of nonlinear non-Gaussian problems, the particle filter is known to suffer from several well-known drawbacks, such as particle degeneracy, curse of …
-
Bayesian Inference for Nonlinear Dynamical Systems : Applications and Software Implementation
The topic of this thesis is estimation of nonlinear dynamical systems, focusing on the use of methods such as particle filtering and smoothing. There are three areas of contributions: software implementation, applications of nonlinear estimation and some theoretical extensions to existing …