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Found 5 papers, 1 papers with code
Multi-Output Convolution Spectral Mixture for Gaussian Processes
The resulting kernel is called Multi-Output Convolution Spectral Mixture (MOCSM) kernel.
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values
We consider the problem of learning parameters of latent variable models from mixed (continuous and ordinal) data with missing values.
Stable specification search in structural equation model with latent variables
In our previous study, we introduced stable specification search for cross-sectional data (S3C).
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling
The present work introduces a novel causal modeling algorithm for longitudinal data, that is robust for finite samples based on recent advances in stability selection using subsampling and selection algorithms.
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling
Structure search is performed over Structural Equation Models.
