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Original Articles

Binomial kernel and Bayes local bandwidth in discrete function estimation

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Pages 783-795 | Received 30 Mar 2011, Accepted 15 Mar 2012, Published online: 01 May 2012

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L. Harfouche, N. Zougab & S. Adjabi. (2018) Bayesian bandwidth selection with two multiplicative bias correction estimators for discrete kernel. Communications in Statistics: Case Studies, Data Analysis and Applications 4:3-4, pages 109-117.
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Nawal Belaid, Smail Adjabi, Célestin C. Kokonendji & Nabil Zougab. (2018) Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator. Communications in Statistics - Theory and Methods 47:12, pages 2988-3001.
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Nawal Belaid, Smail Adjabi, Célestin C. Kokonendji & Nabil Zougab. (2016) Bayesian local bandwidth selector in multivariate associated kernel estimator for joint probability mass functions. Journal of Statistical Computation and Simulation 86:18, pages 3667-3681.
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Henri E. Cuny & Tristan Senga Kiessé. (2016) On Modeling Wood Formation Using Parametric and Semiparametric Regressions for Count Data. Communications in Statistics - Simulation and Computation 45:5, pages 1748-1762.
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Sobom M. Somé & Célestin C. Kokonendji. (2016) Effects of associated kernels in nonparametric multiple regressions. Journal of Statistical Theory and Practice 10:2, pages 456-471.
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Nabil Zougab, Smail Adjabi & Célestin C. Kokonendji. (2016) Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches. Journal of Statistical Theory and Practice 10:1, pages 133-153.
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Y. Ziane, S. Adjabi & N. Zougab. (2015) Adaptive Bayesian bandwidth selection in asymmetric kernel density estimation for nonnegative heavy-tailed data. Journal of Applied Statistics 42:8, pages 1645-1658.
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T. Senga Kiessé & H. E. Cuny. (2014) Discrete triangular associated kernel and bandwidth choices in semiparametric estimation for count data. Journal of Statistical Computation and Simulation 84:8, pages 1813-1829.
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Articles from other publishers (11)

Sobom M. Somé, Célestin C. Kokonendji, Nawel Belaid, Smail Adjabi & Rahma Abid. (2023) Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics. Statistical Methods & Applications.
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Yasmina Ziane, Nabil Zougab & Smail Adjabi. (2021) Body tail adaptive kernel density estimation for nonnegative heavy-tailed data. Monte Carlo Methods and Applications 27:1, pages 57-69.
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K. Nishida. (2019) Bayesian Variance-Stabilizing Kernel Density Estimation Using Conjugate Prior. Journal of Mathematical Sciences 237:5, pages 712-721.
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Célestin C. Kokonendji & Sobom M. Somé. (2018) On multivariate associated kernels to estimate general density functions. Journal of the Korean Statistical Society 47:1, pages 112-126.
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Yasmina Ziane, Nabil Zougab & Smail Adjabi. (2017) Birnbaum–Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data. Computational Statistics 33:1, pages 299-318.
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Nawal Belaid, Smail Adjabi, Nabil Zougab & Célestin C. Kokonendji. (2016) Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions. Journal of the Korean Statistical Society 45:4, pages 557-567.
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Xibin Zhang, Maxwell King & Han Shang. (2016) Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors. Econometrics 4:4, pages 24.
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Célestin C. Kokonendji & Davit Varron. (2016) Performance of discrete associated kernel estimators through the total variation distance. Statistics & Probability Letters 110, pages 225-235.
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Tristan Senga Kiessé, Nabil Zougab & Célestin C. Kokonendji. (2015) Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data. Computational Statistics 31:1, pages 189-206.
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Nabil Zougab, Smail Adjabi & Célestin C. Kokonendji. (2014) Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation. Computational Statistics & Data Analysis 75, pages 28-38.
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Célestin C. Kokonendji. 2014. Methods and Applications of Statistics in Clinical Trials. Methods and Applications of Statistics in Clinical Trials 506 526 .

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