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stat.CO2026
Stochastic Variational Inference for Vine Copula Distributional Regression
Gianmarco Callegher, Thomas Kneib
Structured additive distributional regression flexibly relates all parameters of a conditional response distribution to covariates, but multivariate extensions remain challenging w…
stat.CO2024
Stochastic Variational Inference for Structured Additive Distributional Regression
Gianmarco Callegher, Thomas Kneib, Johannes Söding +1
Structured additive distributional regression extends generalized additive models by allowing all parameters of a response distribution to depend on structured additive predictors.…
stat.CO2022
Liesel: A Python Framework for Graph-Based Bayesian Modeling and Customizable MCMC with Support for Generalized Additive Models
Hannes Riebl, Johannes Brachem, Thomas Kneib +2
Liesel is a Python framework for Bayesian model building and posterior computation with dedicated support for generalized additive regression models that is designed to reduce fric…