292 citations · 770 across the 46 of their papers we have counts for
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math.ST2017★ 292 cited
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly ch…
stat.ME2017
Tests for qualitative features in the random coefficients model
Fabian Dunker, Konstantin Eckle, Katharina Proksch +1
The random coefficients model is an extension of the linear regression model that allows for unobserved heterogeneity in the population by modeling the regression coefficients as r…
math.ST2017
Posterior contraction rates for support boundary recovery
Markus Reiss, Johannes Schmidt-Hieber
Given a sample of a Poisson point process with intensity we study recovery of the boundary function from a nonparametric Bayes perspecti…