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stat.ME2025
Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
Luna Fazio, Paul-Christian Bürkner
Accounting for the complexity of psychological theories requires methods that can predict not only changes in the means of latent variables -- such as personality factors, creativi…
stat.ME2025
DGP-LVM: Derivative Gaussian process latent variable models
Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner
We develop a framework for derivative Gaussian process latent variable models (DGP-LVMs) that can handle multi-dimensional output data using modified derivative covariance function…