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 19 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 11 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 16 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 8 57 0 07 Jul 2020