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Clustering of longitudinal data based on a random change-point model using Dirichlet processes
Dirichlet processes applied to clustering of longitudinal data via piecewise mixed-effects models
Development of a new rapid inversion scheme for Total Field Magnetometric Resistivity (TFMMR) data
Diversity-Based Feature Weighting to Learn Important Feature Interactions in Time Series Data
Diversity-Based Feature Weighting to Learn Important Feature Interactions in Time Series Data
Control charting methods for monitoring high dimensional data streams: A conceptual classification scheme
An Adaptable Bayesian Quantile‐Based Regression Framework for Asymmetric Data Structures and Extreme Points
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Dr. Maibody
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