Research interests



  • Nonparametric inference

  • Inverse problems

  • Directional statistics

  • Random graphs

  • Wavelets and approximation theory

  • Statistical analysis applied to neurological studies



    • Publications and preprints



    [15] T. D. Nguyen, T. M. Pham Ngoc and V. Rivoirard. Adaptive warped kernel estimation for nonparametric regression with circular responses. 2023. Electron. J. Stat. Vol 17(2), pp 4011-4048. Available here.

    [14] C. Lacour and T. M. Pham Ngoc. Semiparametric inference for mixtures of circular data. 2022. Electron. J. Stat. Vol 16(1), pp 3482-3522. Available here.

    [13] M. Maïda, T. D. Nguyen, T. M. Pham Ngoc, V. Rivoirard and V. C. Tran. Statistical deconvolution of the free Fokker-Planck equation at fixed time. 2022. Bernoulli. Vol 28(2), pp 771-802. Available here.

    [12] V. H. Hoang, T. M. Pham Ngoc, V. Rivoirard and V. C. Tran. Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation. 2022. Scandinavian Journal of Statistics. Vol 49 Issue 1, pp 4-43. Available here.

    [11] L. Grangeon, E. O Connor, D. Danno, T. M. Pham Ngoc, E. Tronvik, I. Davagnanam and M. Matharu. Is pituitary MRI screening necessary in cluster headache ?. 2021. Cephalalgia. Available here.

    [10] L. Grangeon, E. O’Connor, C. K. Chan, L. Akijian, T. M. Pham Ngoc and M. Matharu. New insights in post-traumatic cluster headache through a cohort study. 2020. Journal of Neurology, Neurosurgery, and Psychiatry. Vol 91(6):572-579. Available here.

    [9] Y. de Castro, C. Lacour and T. M. Pham Ngoc. Adaptive estimation of nonparametric geometric graphs. 2019. Mathematical Statistics and Learning. Vol 2 Issue 3/4, pp 217-274. Available here.

    [8] T. M. Pham Ngoc. Adaptive optimal kernel density estimation for directional data. 2019. Journal of Multivariate Analysis. Vol 173, pp 248-267. Available here.

    [7] M. Chichignoud, V. H. Hoang, T. M. Pham Ngoc and V. Rivoirard. Adaptive wavelet multivariate regression with errors in variables . 2017. Electronic Journal of Statistics, Vol 11, pp 682-724. Available here.

    [6] P. T. Kim, J-Y. Koo and T. M. Pham Ngoc. Supersmooth testing on the sphere over analytic classes. 2016. Journal of Nonparametric Statistics, Vol 28(1), pp 84-115. DOI:10.1080/10485252.2015.1113284. Available here.

    [5] C. Lacour and T.M. Pham Ngoc. Goodness-of-fit test for noisy directional data. 2014. Bernoulli, Vol 20, 4, pp 2131-2168. Available here.

    [4] T.M. Pham Ngoc and V. Rivoirard. The dictionary approach for spherical deconvolution. 2013. Journal of Multivariate Analysis, 115, p 138-156. Available here.

    [3] G. Kerkyacharian, T.M. Pham Ngoc and D. Picard. Localized spherical deconvolution. 2011. The Annals of Statistics, Vol. 39, 2, pp 1042-1068. Available here.

    [2] T.M Pham Ngoc. Regression in random design and Bayesian warped wavelets estimators. 2009. Electronic Journal of Statistics, Vol.3, pp. 1084-1112. Available here.

    [1] T.M. Pham Ngoc. A statistical minimax approach to the Hausdorff moment problem. 2008. Inverse Problems 24 045018 (13pp). Available here.



    Other works



  • Habilitation à diriger les recherches


  • Thèse de doctorat



    • PhD students



  • Nicolas Conanec (2023-), co-supervised with C. Lacour. Nonparametric statistics for directional data

  • Tien-Dat Nguyen (2018-2021), co-supervised with M. Maïda, V. Rivoirard and V. C. Tran. Nonparametric free deconvolution and circular regression estimation.

  • Van Hà Hoang (2013-2016), co-supervised with V. Rivoirard and V. C. Tran. Adaptive estimation for inverse problems with applications to cell divisions. Currently Assistant professor, Vietnam National University - Ho Chi Minh City.