Skip to Main content
Number of documents

10

TrungTin Nguyen


You can find:

- my webpage: https://trung-tinnguyen.github.io/

- my CV: https://trung-tinnguyen.github.io/files/CV_TrungTin_Nguyen.pdf


Journal articles5 documents

  • Trungtin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes. A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2022, 16 (2), pp.4742 - 4822. ⟨10.1214/22-EJS2057⟩. ⟨hal-03214606⟩
  • Florence Forbes, Hien Duy Nguyen, Trung Tin Nguyen, Julyan Arbel. Summary statistics and discrepancy measures for ABC via surrogate posteriors. Statistics and Computing, Springer Verlag (Germany), In press. ⟨hal-03139256v5⟩
  • Trungtin Nguyen, Faicel Chamroukhi, Hien D Nguyen, Geoffrey J Mclachlan. Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces. Communications in Statistics - Theory and Methods, Taylor & Francis, 2022, pp. 1-12. ⟨10.1080/03610926.2021.2002360⟩. ⟨hal-02957876⟩
  • Hien Duy Nguyen, Trungtin Nguyen, Faicel Chamroukhi, Geoffrey John Mclachlan. Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Journal of Statistical Distributions and Applications, 2021, 8 (13), ⟨10.1186/s40488-021-00125-0⟩. ⟨hal-03328115⟩
  • Trungtin Nguyen, Hien Nguyen, Faicel Chamroukhi, Geoffrey Mclachlan. Approximation by finite mixtures of continuous density functions that vanish at infinity. Cogent Mathematics & Statistics, Taylor & Francis, 2020, 7 (1), ⟨10.1080/25742558.2020.1750861⟩. ⟨hal-02957925⟩

Conference papers3 documents

  • Trungtin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes. Model selection by penalization in mixture of experts models with a non-asymptotic approach. JDS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France. pp.1-6. ⟨hal-03663348⟩
  • Florence Forbes, Hien Duy Nguyen, Trungtin Nguyen, Julyan Arbel. Mixture of expert posterior surrogates for approximate Bayesian computation. SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6. ⟨hal-03679688⟩
  • Julyan Arbel, Florence Forbes, Hien Duy Nguyen, Trungtin Nguyen. Approximate Bayesian computation with surrogate posteriors. ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Marseille, France. ⟨hal-03337949⟩

Preprints, Working Papers, ...2 documents

  • Trungtin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes. A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. 2021. ⟨hal-03214604⟩
  • Trungtin Nguyen, Hien D Nguyen, Faicel Chamroukhi, Geoffrey J Mclachlan. An $l_1$-oracle inequality for the Lasso in mixture-of-experts regression models. 2020. ⟨hal-02957892⟩