Heterogeneous Data Type Mixture Model
This code performs estimation of a mixture model involving heterogeneous data types. The resulting model can be used to calculate likelihoods of underlying model components.
Engineering topics
Publications and source records attributed to Kaplan, AlanD.
This code performs estimation of a mixture model involving heterogeneous data types. The resulting model can be used to calculate likelihoods of underlying model components.
This software contains models for multi-channel time series data. The models are time-frequency descriptions of the data. Also included are prediction performance evaluation tools. These models can be applied to electrophysiology data such as electrocorticography.
This software is used to estimate a probabilistic continuous-time model from data. The models capture nonlinear associations between variables that change over time. They can be used to infer future values of variables. These tools were used in the manuscript entitled "Continuous-Time Probabilistic Models for Longitudinal Electronic Health Records."