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Journal publications

  • J. Arbel, S. Girard, H. D. Nguyen, A. Usseglio-Carleve, Multivariate expectile-based
    distribution: properties, Bayesian inference, and applications, Journal of Statistical Planning and
    Inference, 2022.
  • Hien Duy Nguyen, Sharon Lee, Florence Forbes. A Festschrift for Geoff McLachlan. Australian and New Zealand Journal of Statistics, 2022, 64, pp.111 – 116.
  • TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes. A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models. Electronic Journal of Statistics, 2022, (pdf).
  • Florence Forbes, Hien D. Nguyen, Tin Trung Nguyen, Julyan Arbel. Summary statistics and discrepancy measures for Approximate Bayesian Computation via surrogate posteriors. Statistics and Computing, 2022, (pdf).
  • J.-B. Durand, F. Forbes, C.D. Phan, L. Truong, H.D. Nguyen, F. Dama. Bayesian non parametric spatial prior for car crash risk mapping: a case study in Melbourne, Australia, Australian and New Zealand Journal of Statistics, 2022, (pdf).
  • H. D. Nguyen, F. Forbes. Global implicit function theorems and the online expectation-maximisation algorithm. Australian and New Zealand Journal of Statistics, 2022 (pdf)
  • Nguyen, H. D., Nguyen, T. T., Chamroukhi, F., McLachlan, G.J.  Approximations of conditional probability density functions in Lesbegue spaces via mixture of experts models. Journal of Statistical Distributions and Applications, 8(13), 2021.
  • Nguyen, T. T., Chamroukhi, F., Nguyen, H. D., McLachlan, G. J. Approximation of probability density functions via location-scale finite mixtures in Lesbegue spaces. Communications in Statistics – Theory and Methods, 2021.
  • Hien D. Nguyen, Julyan Arbel, Hongliang Lu, and Florence Forbes. Approximate Bayesian computation via the energy statistic, IEEE Access 2020, p.1-16, (pdf)
  • Mariia Vladimirova, Stéphane Girard, Hien D. Nguyen, and Julyan Arbel. Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions. Stat, 2020. [ arXiv ]
  • Nguyen, T., Nguyen, H. D., Chamroukhi, F., & McLachlan, G.J. Approximation by finite mixtures of continuous density functions that vanish at infinity, Cogent Mathematics and Statistics, April 2020, (pdf)
  • Redivo, E., Nguyen, H. D., and Gupta, M. . Bayesian clustering of skewed and multimodal data using geometric skew normal distributions. Computational Statistics and Data Analysis,  2020.
  • Hien D. Nguyen, Faicel Chamroukhi, Florence Forbes. Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing, Elsevier, 2019, (pdf)
  • Julyan Arbel, Olivier Marchal, and Hien D Nguyen. On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables. ESAIM: Probability & Statistics, forthcoming, 2020. [ DOI | arXiv | HAL ]
  • Chamroukhi F, Nguyen H.D. Model-based clustering and classification of functional data.  Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.  9. 2019, (pdf)
  • Hien D. Nguyen, Florence Forbes and Geoffrey J. McLachlan. Mini-batch learning of exponential family finite mixture models,  Statistics and Computing, 2020 (pdf)

Conference publications

  • H. D. Nguyen, F. Forbes, G. Fort, O. Cappe. An online Minorization-Maximization algorithm. 2022 International Federation of Classification Societies (IFCS) conference, Porto, Portugal, July 19-23, 2022. (pdf)
  • TT Nguyen, F Chamroukhi, HD Nguyen, F Forbes. Model selection by penalization in mixture of experts models with a non-asymptotic approach. JDS 2022: 53emes Journees de Statistique de la Societe Francaise de Statistique (SFdS), Jun 2022, Lyon, France. (pdf)
  • F. Forbes, H.D. Nguyen, T.T. Nguyen, J. Arbel. Mixture of expert posterior surrogates for approximate Bayesian computation. JDS 2022: 53emes Journees de Statistique de la Societe Francaise de Statistique (SFdS), Jun 2022, Lyon, France. (pdf)
  • Florence Forbes, Hien D. Nguyen, TinTrung Nguyen, Julyan Arbel. Approximate Bayesian Computation with surrogate posteriors. UQ2021, Dallas, Tx USA (online).
  • J.-B. Durand, F. Forbes, C.D. Phan, L. Truong, H.D. Nguyen, F. Dama. Spatial segmentation of count data with a Bayesian nonparametric Hidden Markov model: application to traffic crash risk mapping. JDS 2021 : 52emes Journees de Statistique de la Societe Francaise de Statistique, Jun 2021, Nice, France.
  • Chamroukhi, F., Lecocq, F., & Nguyen, H. D. Regularized estimation and feature selection in mixtures of Gaussian-gated experts models. In Nguyen H. (eds) Statistics and Data Science. Proc. Research School on Statistics and Data Science (RSSDS), July 2019, Melbourne, Australia. Communications in Computer and Information Science, vol 1150. Springer,
  • F. Forbes, A. Arnaud, B. Lemasson, E. Barbier. Component Elimination Strategies to Fit Mixtures of Multiple Scale Distributions. In: Nguyen H. (eds) Statistics and Data Science.  Proc. Research School on Statistics and Data Science (RSSDS), July 2019, Melbourne, Australia. Communications in Computer and Information Science, vol 1150. Springer, (slides), (pdf)

Working papers

  • Mohsen Maleki, Darren Wraith and Florence Forbes. Finite mixtures of multiple scaled Generalized Hyperbolic distributions using a Bayesian approach.
  • Antoine Usseglio-Carleve, Hien D. Nguyen, S. Girard. Development of majorization-minimization algorithms for the computation of empirical and theoretical geometric multivariate expectiles.
  • TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes. A non-asymptotic model selection in block-diagonal mixture of polynomial experts models.

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