bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)

25 September 2019

Papers citing "bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)"

7 / 7 papers shown

Title
"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data" A. Rappl Thomas Kneib S. Lang Elisabeth Bergherr 17 3 0 14 Feb 2023
Scalable Estimation for Structured Additive Distributional Regression Nikolaus Umlauf Johannes Seiler Mattias Wetscher T. Simon S. Lang Nadja Klein 13 6 0 13 Jan 2023
Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms Hannes Riebl P. Wiemann Thomas Kneib 8 2 0 22 Sep 2022
Valid inferential models for prediction in supervised learning problems Leonardo Cella Ryan Martin 6 21 0 19 Dec 2021
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression David Rügamer Chris Kolb Cornelius Fritz Florian Pfisterer Philipp Kopper ... Dominik Thalmeier Philipp F. M. Baumann Lucas Kook Nadja Klein Christian L. Müller BDL 8 19 0 06 Apr 2021
Cholesky-based multivariate Gaussian regression T. Muschinski G. Mayr T. Simon Nikolaus Umlauf A. Zeileis 20 19 0 26 Feb 2021
qgam: Bayesian non-parametric quantile regression modelling in R Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 6 57 0 07 Jul 2020