| Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation N Zougab, S Adjabi, CC Kokonendji Computational Statistics & Data Analysis 75, 28-38, 2014 | 61 | 2014 |
| Binomial kernel and Bayes local bandwidth in discrete function estimation N Zougab, S Adjabi, CC Kokonendji Journal of Nonparametric Statistics 24 (3), 783-795, 2012 | 33 | 2012 |
| A Bayesian approach to bandwidth selection in univariate associate kernel estimation N Zougab, S Adjabi, CC Kokonendji Journal of Statistical Theory and Practice 7, 8-23, 2013 | 27 | 2013 |
| Adaptive Bayesian bandwidth selection in asymmetric kernel density estimation for nonnegative heavy-tailed data Y Ziane, S Adjabi, N Zougab Journal of Applied Statistics 42 (8), 1645-1658, 2015 | 25 | 2015 |
| Adaptive smoothing in associated kernel discrete functions estimation using Bayesian approach N Zougab, S Adjabi, CC Kokonendji Journal of Statistical Computation and Simulation 83 (12), 2219-2231, 2013 | 21 | 2013 |
| Multivariate generalized Birnbaum—Saunders kernel density estimators N Zougab, L Harfouche, Y Ziane, S Adjabi Communications in Statistics-Theory and Methods 47 (18), 4534-4555, 2018 | 17 | 2018 |
| Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions N Belaid, S Adjabi, N Zougab, CC Kokonendji Journal of the Korean Statistical Society 45, 557-567, 2016 | 17 | 2016 |
| Bayesian approach in nonparametric count regression with binomial kernel N Zougab, S Adjabi, CC Kokonendji Communications in Statistics-Simulation and Computation 43 (5), 1052-1063, 2014 | 17 | 2014 |
| Multiplicative bias correction for discrete kernels L Harfouche, S Adjabi, N Zougab, B Funke Statistical Methods & Applications 27, 253-276, 2018 | 16 | 2018 |
| Multiplicative bias correction for generalized Birnbaum-Saunders kernel density estimators and application to nonnegative heavy tailed data N Zougab, S Adjabi Journal of the Korean Statistical Society 45, 51-63, 2016 | 16 | 2016 |
| Birnbaum–Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data Y Ziane, N Zougab, S Adjabi Computational Statistics 33, 299-318, 2018 | 14 | 2018 |
| Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator N Belaid, S Adjabi, CC Kokonendji, N Zougab Communications in Statistics-Theory and Methods 47 (12), 2988-3001, 2018 | 13 | 2018 |
| Bayesian local bandwidth selector in multivariate associated kernel estimator for joint probability mass functions N Belaid, S Adjabi, CC Kokonendji, N Zougab Journal of Statistical Computation and Simulation 86 (18), 3667-3681, 2016 | 12 | 2016 |
| Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data T Senga Kiessé, N Zougab, CC Kokonendji Computational statistics 31, 189-206, 2016 | 11 | 2016 |
| Approche bayésienne dans l’estimation non paramétrique de la densité de probabilité et la courbe de régression de la moyenne N Zougab Thèse de doctorat, Université de Béjaia, 2013 | 8 | 2013 |
| Multivariate generalised gamma kernel density estimators and application to non-negative data L Harfouche, N Zougab, S Adjabi International Journal of Computing Science and Mathematics 11 (2), 137-157, 2020 | 7 | 2020 |
| Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches N Zougab, S Adjabi, CC Kokonendji Journal of Statistical Theory and Practice 10, 133-153, 2016 | 7 | 2016 |
| A Bayesian procedure for bandwidth selection in circular kernel density estimation K Bedouhene, N Zougab Monte Carlo Methods and Applications 26 (1), 69-82, 2020 | 6 | 2020 |
| Non-parametric data analysis of low-latitude auroras and naked-eye sunspots in the Medieval epoch MR Bekli, N Zougab, A Belabbas, I Chadou Solar Physics 292 (4), 52, 2017 | 5 | 2017 |
| Poisson-weighted estimation by discrete kernel with application to radiation biodosimetry CC Kokonendji, N Zougab, T Senga-Kiessé Extended Abstracts Fall 2015: Biomedical Big Data; Statistics for Low Dose …, 2017 | 5 | 2017 |
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