• 71 Citations
  • 4 h-Index
20112019

Research output per year

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Personal profile

Research interests

  • Computational Statistics: Monte Carlo and quasi-Monte Carlo methods, Markov chain Monte Carlo.
  • Data analysis: Statistical learning and machine learning algorithms.
  • Mathematical modeling.

 

Teaching

Education/Academic qualification

Applied Mathematics, PhD, UNSW Australia

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Research Outputs

  • 71 Citations
  • 4 h-Index
  • 7 Article
  • 3 Conference proceeding contribution
  • 1 Chapter

A weighted discrepancy bound of quasi-Monte Carlo importance sampling

Dick, J., Rudolf, D. & Zhu, H., Jun 2019, In : Statistics and Probability Letters. 149, p. 100-106 7 p.

Research output: Contribution to journalArticle

  • Analysis of framelet transforms on a simplex

    Wang, Y. G. & Zhu, H., 2018, Contemporary computational mathematics - a celebration of the 80th birthday of Ian Sloan. Dick, J., Kuo, F. Y. & Woźniakowski, H. (eds.). Cham: Springer, Springer Nature, p. 1175-1189 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • A discrepancy bound for deterministic acceptance-rejection samplers beyond N-1/2 in dimension 1

    Zhu, H. & Dick, J., Jul 2017, In : Statistics and Computing. 27, 4, p. 901-911 11 p.

    Research output: Contribution to journalArticle

  • An iterative learning algorithm for feedforward neural networks with random weights

    Cao, F., Wang, D., Zhu, H. & Wang, Y., 20 Jan 2016, In : Information Sciences. 328, p. 546-557 12 p.

    Research output: Contribution to journalArticle

  • 27 Citations (Scopus)

    Discrepancy bounds for uniformly ergodic Markov chain quasi-Monte Carlo

    Dick, J., Rudolf, D. & Zhu, H., Oct 2016, In : Annals of Applied Probability. 26, 5, p. 3178-3205 28 p.

    Research output: Contribution to journalArticle

    Open Access
  • 3 Citations (Scopus)