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 4 of 4 for “"cluster-weighted"”.
-
Statistical algorithms for Cluster Weighted Models
Cluster-weighted modeling (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneous population. In this thesis first we investigate statistical properties of CWM from both theoretical and numerical point of view for both Gaussian and Student-t CWM. Then we …
-
A Modified Cluster-Weighted Approach to Nonlinear Time Series
… almost instantaneously, least squares and weighted least squares estimates are used. This is a modification of the cluster-weighted models proposed by Gershenfeld, Schoner, and Metois (1999). A simulation study compares the models and explores the adequacy of least squares estimators.</p>
-
Probabilistic characterization and synthesis of complex driven systems
… from observing the performance of an instrument. Cluster-weighted modeling (CWM), a mixture density estimator around local models, is presented as a framework for function approximation and for the prediction and characterization of nonlinear time series. The general model architecture and …
-
Analysis of longitudinal data in perinatal trials when the length of follow-up is informative
… the data consist of independent observations. Clustered data occur in many settings, such as longitudinal studies, where outcomes are repeatedly measured over time on each subject. Observations from the same subject are dependent and hence form a cluster. Two commonly used methods of analysis …