| Mathematical foundations of infinite-dimensional statistical models E Giné, R Nickl Cambridge University Press, 2016 | 719* | 2016 |
| Confidence bands in density estimation E Giné, R Nickl | 198 | 2010 |
| Nonparametric Bernstein-von Mises Theorems in Gaussian White Noise I Castillo, R Nickl The Annals of Statistics 41 1999-2028, 2013 | 147 | 2013 |
| On the Bernstein–von Mises phenomenon for nonparametric Bayes procedures I Castillo, R Nickl | 139 | 2014 |
| Confidence sets in sparse regression R Nickl, S Van De Geer | 122 | 2013 |
| Rates of contraction for posterior distributions in Lr-metrics, 1≤ r≤∞ E Giné, R Nickl The Annals of Statistics 39 (6), 2883-2911, 2011 | 100 | 2011 |
| 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 | 100 | 2007 |
| Global uniform risk bounds for wavelet deconvolution estimators K Lounici, R Nickl | 96 | 2011 |
| On adaptive inference and confidence bands M Hoffmann, R Nickl | 94 | 2011 |
| Uniform limit theorems for wavelet density estimators E Giné, R Nickl | 83 | 2009 |
| Uniform central limit theorems for kernel density estimators E Giné, R Nickl Probability Theory and Related Fields 141 (3-4), 333-387, 2008 | 75 | 2008 |
| A simple adaptive estimator of the integrated square of a density E Giné, R Nickl | 73 | 2008 |
| Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions R Nickl, J Söhl | 69 | 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 (3-4), 569-596, 2009 | 69 | 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 | 53 | 2020 |
| Adaptive confidence sets in AD Bull, R Nickl Probability Theory and Related Fields 156, 889-919, 2013 | 51 | 2013 |
| Efficient nonparametric Bayesian inference for X-ray transforms F Monard, R Nickl, GP Paternain The Annals of Statistics 47 (2), 1113-1147, 2019 | 50 | 2019 |
| Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions R Nickl, K Ray | 47 | 2020 |
| Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M Giordano, R Nickl Inverse Problems 36 (8), 085001, 2020 | 46 | 2020 |
| A Donsker theorem for Lévy measures R Nickl, M Reiß Journal of functional analysis 263 (10), 3306-3332, 2012 | 45 | 2012 |
