138 citations · 532 across the 35 of their papers we have counts for
5 papers · 1 filter
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…
Multivariate Distributional Stochastic Frontier Models
Rouven Schmidt, Thomas Kneib
The primary objective of Stochastic Frontier (SF) Analysis is the deconvolution of the estimated composed error terms into noise and inefficiency. Assuming a parametric production…
Twitmo: A Twitter Data Topic Modeling and Visualization Package for R
Andreas Buchmüller, Gillian Kant, Christoph Weisser +3
We present Twitmo, a package that provides a broad range of methods to collect, pre-process, analyze and visualize geo-tagged Twitter data. Twitmo enables the user to collect geo-t…
Bayesian Discrete Conditional Transformation Models
Manuel Carlan, Thomas Kneib
We propose a novel Bayesian model framework for discrete ordinal and count data based on conditional transformations of the responses. The conditional transformation function is es…
Distributional Gradient Boosting Machines
Alexander März, Thomas Kneib
We present a unified probabilistic gradient boosting framework for regression tasks that models and predicts the entire conditional distribution of a univariate response variable a…