Mathematical foundations of infinite-dimensional statistical models E Giné, R Nickl Cambridge University Press, 2016 | 834* | 2016 |

Confidence bands in density estimation E Giné, R Nickl | 205 | 2010 |

Nonparametric Bernstein-von Mises Theorems in Gaussian White Noise I Castillo, R Nickl The Annals of Statistics 41 1999-2028, 2013 | 156 | 2013 |

On the Bernstein–von Mises phenomenon for nonparametric Bayes procedures I Castillo, R Nickl | 143 | 2014 |

Confidence sets in sparse regression R Nickl, S Van De Geer | 125 | 2013 |

Bracketing metric entropy rates and empirical central limit theorems for function classes of Besov-and Sobolev-type R Nickl, BM Pötscher Journal of Theoretical Probability 20, 177-199, 2007 | 108 | 2007 |

Rates of contraction for posterior distributions in Lr-metrics, 1≤ r≤∞ E Giné, R Nickl The Annals of Statistics 39 (6), 2883-2911, 2011 | 106 | 2011 |

Global uniform risk bounds for wavelet deconvolution estimators K Lounici, R Nickl | 97 | 2011 |

On adaptive inference and confidence bands M Hoffmann, R Nickl | 94 | 2011 |

Uniform limit theorems for wavelet density estimators E Giné, R Nickl | 85 | 2009 |

A simple adaptive estimator of the integrated square of a density E Giné, R Nickl | 82 | 2008 |

Uniform central limit theorems for kernel density estimators E Giné, R Nickl Probability Theory and Related Fields 141 (3), 333-387, 2008 | 80 | 2008 |

Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions R Nickl, J Söhl | 78 | 2017 |

An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation E Giné, R Nickl Probability Theory and Related Fields 143 (3), 569-596, 2009 | 72 | 2009 |

Bernstein-von Mises theorems for statistical inverse problems I: Schrödinger equation R Nickl Journal of the European Mathematical Society 22 (8), 2697–2750, 2020 | 67 | 2020 |

Consistent Inversion of Noisy Non‐Abelian X‐Ray Transforms F Monard, R Nickl, GP Paternain Communications on Pure and Applied Mathematics 74 (5), 1045-1099, 2021 | 64 | 2021 |

Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M Giordano, R Nickl Inverse Problems 36 (8), 085001, 2020 | 64 | 2020 |

Efficient nonparametric Bayesian inference for X-ray transforms F Monard, R Nickl, GP Paternain The Annals of Statistics 47 (2), 1113-1147, 2019 | 63 | 2019 |

Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions R Nickl, K Ray | 58 | 2020 |

Convergence rates for penalized least squares estimators in PDE constrained regression problems R Nickl, S van de Geer, S Wang SIAM/ASA Journal on Uncertainty Quantification 8 (1), 374-413, 2020 | 58 | 2020 |