Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Beirlant, J.
Berlinet, A.
and
Biau, G.
2008.
Higher order estimation at Lebesgue points.
Annals of the Institute of Statistical Mathematics,
Vol. 60,
Issue. 3,
p.
651.
Ould-Saïd, Elias
and
Tatachak, Abdelkader
2009.
Strong Consistency Rate for the Kernel Mode Estimator Under Strong Mixing Hypothesis and Left Truncation.
Communications in Statistics - Theory and Methods,
Vol. 38,
Issue. 8,
p.
1154.
Wieczorek, B.
and
Ziegler, K.
2010.
On optimal estimation of a non-smooth mode in a nonparametric regression model with -mixing errors.
Journal of Statistical Planning and Inference,
Vol. 140,
Issue. 2,
p.
406.
Khardani, Salah
Lemdani, Mohamed
and
Ould Saïd, Elias
2011.
Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series.
Journal of Statistical Planning and Inference,
Vol. 141,
Issue. 11,
p.
3426.
Mokkadem, Abdelkader
Pelletier, Mariane
Thiam, Baba
and
Chow, Shein-Chung
2011.
Joint Behaviour of Semirecursive Kernel Estimators of the Location and of the Size of the Mode of a Probability Density Function.
Journal of Probability and Statistics,
Vol. 2011,
Issue. 1,
Faugeras, Olivier P.
2012.
Prediction via the Quantile-Copula Conditional Density Estimator.
Communications in Statistics - Theory and Methods,
Vol. 41,
Issue. 1,
p.
16.
Khardani, Salah
Lemdani, Mohamed
and
Ould Saïd, Elias
2012.
On the strong uniform consistency of the mode estimator for censored time series.
Metrika,
Vol. 75,
Issue. 2,
p.
229.
Crisan, Dan
and
Míguez, Joaquín
2014.
Particle-kernel estimation of the filter density in state-space models.
Bernoulli,
Vol. 20,
Issue. 4,
Benrabah, Ouafae
Ould Saïd, Elias
and
Tatachak, Abdelkader
2015.
A kernel mode estimate under random left truncation and time series model: asymptotic normality.
Statistical Papers,
Vol. 56,
Issue. 3,
p.
887.
Eckle, Konstantin
Bissantz, Nicolai
Dette, Holger
Proksch, Katharina
and
Einecke, Sabrina
2018.
Multiscale inference for a multivariate density with applications to X-ray astronomy.
Annals of the Institute of Statistical Mathematics,
Vol. 70,
Issue. 3,
p.
647.
Murphy, James M.
2020.
Spatially regularized active diffusion learning for high-dimensional images.
Pattern Recognition Letters,
Vol. 135,
Issue. ,
p.
213.
Pensia, Ankit
Jog, Varun
and
Loh, Po-Ling
2022.
Estimating location parameters in sample-heterogeneous distributions.
Information and Inference: A Journal of the IMA,
Vol. 11,
Issue. 3,
p.
959.
Arias-Castro, Ery
Qiao, Wanli
and
Zheng, Lin
2022.
Estimation of the global mode of a density: Minimaxity, adaptation, and computational complexity.
Electronic Journal of Statistics,
Vol. 16,
Issue. 1,
Younso, Ahmad
2022.
Consistency of the simple mode of a density for spatial processes.
Journal of Nonparametric Statistics,
Vol. 34,
Issue. 2,
p.
465.
Younso, Ahmad
2023.
Consistency of the frequency polygon estimators of density mode for strongly mixing processes.
Communications in Statistics - Theory and Methods,
Vol. 52,
Issue. 7,
p.
2182.
Younso, Ahmad
2023.
On the consistency of mode estimate for spatially dependent data.
Metrika,
Vol. 86,
Issue. 3,
p.
343.
Wu, Guangyu
and
Lindquist, Anders
2024.
A non-classical parameterization for density estimation using sample moments.
Statistical Papers,
Karabatsos, George
2024.
Copula Approximate Bayesian Computation Using Distribution Random Forests.
Stats,
Vol. 7,
Issue. 3,
p.
1002.