
Deep transformation models: Tackling complex regression problems with neural network based transformation models
We present a deep transformation model for probabilistic regression. Dee...
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Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
While circular data occur in a wide range of scientific fields, the meth...
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Marginally Interpretable Linear Transformation Models for Clustered Observations
Clustered observations are ubiquitous in controlled and observational st...
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The Power of Unbiased Recursive Partitioning: A Unifying View of CTree, MOB, and GUIDE
A core step of every algorithm for learning regression trees is the sele...
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Multivariate Conditional Transformation Models
Regression models describing the joint distribution of multivariate resp...
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Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival
We investigate the effect of the proportional hazards assumption on prog...
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Distributional Regression Forests for Probabilistic Precipitation Forecasting in Complex Terrain
To obtain a probabilistic model for a dependent variable based on some s...
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Topdown Transformation Choice
Simple models are preferred over complex models, but oversimplistic mod...
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Transformation Forests
Regression models for supervised learning problems with a continuous tar...
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Torsten Hothorn
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