Baba Thiam
Publications
Sophie Dabo-Niang, Camille Ternynck, Baba Thiam, Anne-Françoise Yao
Non-parametric statistical analysis of spatially distributed functional data
Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis, Wiley, 2021, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch8⟩
Kernel regression estimation with errors-in-variables for random fields
Afrika Matematika, 2020, 31, pp.29-56. ⟨10.1007/s13370-019-00654-7⟩
Relative error prediction in nonparametric deconvolution regression model
Statistica Neerlandica, 2018, ⟨10.1111/stan.12135⟩
Aboubacar Amiri, Baba Thiam, Thomas Verdebout
On the Estimation of the Density of a Directional Data Stream
Scandinavian Journal of Statistics, 2016, 44 (1), pp.249--267. ⟨10.1111/sjos.12252⟩
Regression estimation by local polynomial fitting for multivariate data streams
Statistical Papers, 2016, 59, pp.813-843. ⟨10.1007/s00362-016-0791-6⟩
Strong consistency result of a non parametric conditional mode estimator under random censorship for functional regressors
Communications in Statistics - Theory and Methods, 2016, 45 (7), pp.1863--1875. ⟨10.1080/03610926.2013.867997⟩
Nonparametric estimation of a regression function for spatial data with errors.
2015
Aboubacar Amiri, Christophe Crambes, Baba Thiam
Recursive estimation of nonparametric regression with functional covariate
Computational Statistics and Data Analysis, 2014, 69, pp.154 - 172. ⟨10.1016/j.csda.2013.07.030⟩
Consistency of the recursive nonparametric regression estimation for dependent functional data.
2013
Aboubacar Amiri, Christophe Crambes, Baba Thiam
Recursive estimation of nonparametric regression with functional covariate.
2012
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
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, 2011, pp.ID 564297. ⟨10.1155/2011/564297⟩
Franck Picard, Mark Hoebeke, Guillem Rigaill, Baba Thiam, Stephane Robin
Joint segmentation, calling, and normalization of multiple CGH profiles
Biostatistics, 2011, 12 (3), pp.413-428. ⟨10.1093/biostatistics/kxq076⟩
Robust quantile estimation and prediction for spatial processes
2010
Robust quantile estimation and prediction for spatial processes
Statistics and Probability Letters, 2010, 80 (17-18), pp.1447-1458. ⟨10.1016/j.spl.2010.05.012⟩
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
Large and moderate deviations principles for kernel estimators of the multivariate regression.
Mathematical Methods of Statistics, 2008, 17 (2), pp.146-172. ⟨10.3103/S1066530708020051⟩
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
Large and moderate deviations principles for kernel estimators of the multivariate regression
2007
Estimation récursive de fonctionnelles
Mathématiques [math]. Université de Versailles-Saint Quentin en Yvelines, 2006. Français. ⟨NNT : ⟩
Abdelkader Mokkadem, Mariane Pelletier, Baba Thiam
Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives.
2006
Recherche
Type de document
Année
- Mokkadem, A. Pelletier, M. and Thiam, B. (2006). Large and moderate deviations principles for the recursive kernel estimators of the multivariate density and its partial derivatives. Serdica Math. J., vol. 32 (4), 323–354.
- Mokkadem, A. Pelletier, M. and Thiam, B. (2008). Large and moderate deviations principles for kernel estimators of the multivariate regression. Mathematical Methods of Statis- tics, vol. 17 (2), 1–27.
- Dabo-Niang, S. and Thiam, B. (2010). Robust quantile estimation and prediction for spatial processes. Statistics and Probability Letters, vol. 80, (17-18), 1447–1458.
- Picard, F., Lebarbier, E., Hoebeke, M., Rigaill, G., Robin, S. and Thiam, B. (2011). Joint segmentation, calling and normalization of multiple CGH profiles. Biostatistics, vol. 12, Number 3, Pages 413–428.
- Mokkadem A., Pelletier, M. and Thiam, B. (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, doi :10.1155/2011/564297.
- Ley, C., Swan, Y., Thiam, B. and Verdebout, T. (2013). Optimal R-estimator for spherical location. Statistica Sinica, vol. 23, (1), 305–333.
- Amiri, A., Crambes, C. and Thiam, B. (2014). Recursive estimation of nonparametric regression with functional covariate. Computational Statistics and Data Analysis, vol. 69, 154–172.
- Amiri, A. and Thiam, B. (2014). Consistency of the recursive nonparametric regression estimation for dependent functional data. Journal of Nonparametric Statistics, vol. 26 (3), 471–487.
- Amiri, A. and Thiam, B. (2014). A smoothing stochastic algorithm for quantile estimation. Statistics and Probability letters, vol. 93, 116–125.
- Khardani, S. and Thiam, B. (2016). Strong consistency result of a nonparametric condi- tional mode estimator under random censorship for functional regressors. Communications in Statistics, Theory and Methods, vol. 45 (7), 1863–1875.
- Amiri, A. Thiam, B. and Verdebout, T. (2017). On the estimation of the density of a directional data stream. Scandinavian Journal of Statistics, vol. 44 (1), 249–267.
- Amiri, A. and Thiam, B. (2018). Regression estimation by local polynomial fitting for multivariate data stream. Statistical Papers, vol. 59, (2), 813–843.
- Thiam, B. (2019). Relative error prediction in nonparametric deconvolution regression model. Statistica Nerlandica, vol. 73, (1), 63–77.
- Dabo-Niang, S., Ternynck, C., Thiam, B. et Yao, A-F. (2018). Nonparametric statistical analysis of spatially distributed functional data. A paraître dans Wiley book ; Geostatistical Functional Data Analysis : Theory and Methods. Editors : Jorge Mateu, Ramon Giraldo.
- Dabo-Niang,S.andThiam,B.(2020).Kernel regression estimation with errors-in-variables for random fields, Afrika Mathematica, vol 31, 29–56.