23 citations · 25 across the 4 of their papers we have counts for
5 papers
Multi-Output Convolution Spectral Mixture for Gaussian Processes
Kai Chen, Twan van Laarhoven, Perry Groot +2
Multi-output Gaussian processes (MOGPs) are an extension of Gaussian Processes (GPs) for predicting multiple output variables (also called channels, tasks) simultaneously. In this…
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot +1
We consider the problem of learning parameters of latent variable models from mixed (continuous and ordinal) data with missing values. We propose a novel Bayesian Gaussian copula f…
Stable specification search in structural equation model with latent variables
Ridho Rahmadi, Perry Groot, Tom Heskes
In our previous study, we introduced stable specification search for cross-sectional data (S3C). It is an exploratory causal method that combines stability selection concept and mu…
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling
Ridho Rahmadi, Perry Groot, Marieke HC van Rijn +4
A typical problem in causal modeling is the instability of model structure learning, i.e., small changes in finite data can result in completely different optimal models. The prese…
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling
Ridho Rahmadi, Perry Groot, Marianne Heins +2
Causal modeling has long been an attractive topic for many researchers and in recent decades there has seen a surge in theoretical development and discovery algorithms. Generally d…