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Nonparametric regression using deep neural networks with ReLU activation function

Schmidt-Hieber, Johannes
Annals of Statistics Volume 48, Number 4 (August 2020), 1875-1897.

Journal article

Rejoinder: “Nonparametric regression using deep neural networks with ReLU activation function”

Schmidt-Hieber, Johannes
Annals of Statistics Volume 48, Number 4 (August 2020), 1916-1921.

Journal article

Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery

Reiß, Markus and Schmidt-Hieber, Johannes
Annals of Statistics Volume 48, Number 3 (June 2020), 1432-1451.

Journal article

Bayesian variance estimation in the Gaussian sequence model with partial information on the means

Finocchio, Gianluca and Schmidt-Hieber, Johannes
Electronic Journal of Statistics Volume 14, Number 1 (2020), 239-271.

Journal article

Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities

Ray, Kolyan and Schmidt-Hieber, Johannes
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques Volume 55, Number 4 (November 2019), 2195-2208.

Journal article

Tests for qualitative features in the random coefficients model

Dunker, Fabian, Eckle, Konstantin, Proksch, Katharina, and Schmidt-Hieber, Johannes
Electronic Journal of Statistics Volume 13, Number 2 (2019), 2257-2306.

Journal article

Bayesian linear regression with sparse priors

Castillo, Ismaël, Schmidt-Hieber, Johannes, and van der Vaart, Aad
Annals of Statistics Volume 43, Number 5 (October 2015), 1986-2018.

Journal article

On adaptive posterior concentration rates

Hoffmann, Marc, Rousseau, Judith, and Schmidt-Hieber, Johannes
Annals of Statistics Volume 43, Number 5 (October 2015), 2259-2295.

Journal article

Asymptotic equivalence for regression under fractional noise

Schmidt-Hieber, Johannes
Annals of Statistics Volume 42, Number 6 (December 2014), 2557-2585.

Journal article

Asymptotically efficient estimation of a scale parameter in Gaussian time series and closed-form expressions for the Fisher information

Sabel, Till and Schmidt-Hieber, Johannes
Bernoulli Volume 20, Number 2 (May 2014), 747-774.

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