11 citations · 11 across the 8 of their papers we have counts for
9 papers
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…
Reconciling Interpretability with Covariate-Dependent Shape Flexibility in Penalized Transformation Models for Distributional Regression
Johannes Brachem, Thomas Kneib
A central challenge in distributional regression is to allow the shape of the conditional distribution of the response variable to vary flexibly with covariates while retaining dir…
Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics
Isabella Habereder, Thomas Kneib, Isao Echizen +1
The under-representation of women as sources cited in news media is one prominent representation of gender bias. Understanding where gender bias concentrates and how it evolves is…
Bayesian structured additive quantile regression for inflated bounded data
Francisco F. Queiroz, Johannes Brachem, Paul F. V. Wiemann +1
Bounded continuous data on the unit interval frequently arise in applied fields and often exhibit a non-negligible proportion of observations at the boundaries. Inflated regression…
A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
Isabella Habereder, Thomas Kneib, Isao Echizen +1
Data with spatio-temporal attributes are prevalent across many research fields, and statistical models for analyzing spatio-temporal relationships are widely used. Existing reviews…
Graphical Transformation Models
Matthias Herp, Johannes Brachem, Michael Altenbuchinger +1
Graphical Transformation Models (GTMs) are introduced as a novel approach to effectively model multivariate data with intricate marginals and complex dependency structures semipara…
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.…
Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions
Johannes Brachem, Paul F. V. Wiemann, Thomas Kneib
Penalized transformation models (PTMs) are a semiparametric location-scale regression family that estimate a response's conditional distribution directly from the data, and model t…
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
A. Urdangarin, T. Goicoa, T. Kneib +1
Spatial areal models encounter the well-known and challenging problem of spatial confounding. This issue makes it arduous to distinguish between the impacts of observed covariates…