| Long memory processes J Beran, Y Feng, S Ghosh, R Kulik | 751 | 2013 |
| M/M/1 queueing systems with inventory M Schwarz, C Sauer, H Daduna, R Kulik, R Szekli Queueing Systems 54 (1), 55-78, 2006 | 293 | 2006 |
| Heavy-tailed time series R Kulik, P Soulier Springer, 2020 | 170 | 2020 |
| Spatiotemporal distribution of Holocene populations in North America MA Chaput, B Kriesche, M Betts, A Martindale, R Kulik, V Schmidt, ... Proceedings of the National Academy of Sciences 112 (39), 12127-12132, 2015 | 74 | 2015 |
| Heavy tailed time series with extremal independence R Kulik, P Soulier Extremes 18 (2), 273-299, 2015 | 53 | 2015 |
| The tail empirical process for long memory stochastic volatility sequences R Kulik, P Soulier Stochastic Processes and their Applications 121 (1), 109-134, 2011 | 50 | 2011 |
| Wavelet regression in random design with heteroscedastic dependent errors R Kulik, M Raimondo | 47 | 2009 |
| Human–vegetation interactions during the Holocene in North America K Gajewski, B Kriesche, MA Chaput, R Kulik, V Schmidt Vegetation History and Archaeobotany 28 (6), 635-647, 2019 | 37 | 2019 |
| Nonparametric deconvolution problem for dependent sequences R Kulik | 36 | 2008 |
| The tail empirical process of regularly varying functions of geometrically ergodic Markov chains R Kulik, P Soulier, O Wintenberger Stochastic Processes and their Applications 129 (11), 4209-4238, 2019 | 28 | 2019 |
| Nonparametric conditional variance and error density estimation in regression models with dependent errors and predictors R Kulik, C Wichelhaus | 26 | 2011 |
| Multichannel deconvolution with long-range dependence: A minimax study R Benhaddou, R Kulik, M Pensky, T Sapatinas Journal of Statistical Planning and Inference 148, 1-19, 2014 | 24 | 2014 |
| Some results on random design regression with long memory errors and predictors R Kulik, P Lorek Journal of statistical planning and inference 141 (1), 508-523, 2011 | 20 | 2011 |
| Reduction principles for quantile and Bahadur–Kiefer processes of long-range dependent linear sequences M Csörgő, R Kulik Probability theory and related fields 142 (3), 339-366, 2008 | 20 | 2008 |
| Limit theorems for moving averages with random coefficients and heavy-tailed noise R Kulik Journal of applied probability 43 (1), 245-256, 2006 | 20 | 2006 |
| Multichannel deconvolution with long range dependence: Upper bounds on the Lp-risk (1≤ p<∞) R Kulik, T Sapatinas, JR Wishart Applied and Computational Harmonic Analysis 38 (3), 357-384, 2015 | 18 | 2015 |
| Heavy-tailed branching process with immigration B Basrak, R Kulik, Z Palmowski Stochastic models 29 (4), 413-434, 2013 | 18 | 2013 |
| Bahadur–Kiefer theory for sample quantiles of weakly dependent linear processes R Kulik | 18 | 2007 |
| L p-wavelet regression with correlated errors and inverse problems R Kulik, M Raimondo Statistica Sinica, 1479-1489, 2009 | 17 | 2009 |
| Sufficient conditions for long-range count dependence of stationary point processes on the real line R Kulik, R Szekli Journal of applied probability 38 (2), 570-581, 2001 | 17 | 2001 |
Yuanhua Feng (冯元化)University of Paderborn, Germany (德国帕德博恩大学)Verified email at wiwi.upb.de
