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Baba Thiam

Maître de conférences CNU : SECTION 26 - MATHEMATIQUES APPLIQUEES ET APPLICATIONS DES MATHEMATIQUES

Publications

  • 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.