Said Maanan

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Doctoral Candidate - Doctor of Philosophy

Biography

Said Maanan pursued a BSc in Applied Economics at the Mohammed V University, and an MSc in Applied Statistics at Jiangsu University. He joined The Department of Statistics at the University of Auckland as a PhD student during 2015. He is doing his research under the supervision of Dr Ciprian Giurcaneanu.

Research | Current

Said is currently working on improving the estimation methods related to graphical models representing the conditional independence structure of multivariate, stationary time series.

Teaching | Current

Computer lab tutoring (Satistics). The University of Auckland, New Zealand.

Distinctions/Honours

  • 2015-2018 : Received University of Auckland Department of Statistics Doctoral Scholarship.
  • 2013-2014 : Received Chinese Government Scholarship : Billateral Program.
  • 2012-2013 : Awarded distinction at Mohammed V University for BSc in Applied Economics.

Responsibilities

  • PhD candidate.
  • Graduate Teaching Assistant.

Selected publications and creative works (Research Outputs)

  • Maanan, S., Dumitrescu, B., & Giurcăneanu C (2018). Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series. Entropy, 20 (1), 76-76. 10.3390/e20010076
    Other University of Auckland co-authors: Ciprian Giurcaneanu
  • Maanan, S., Dumitrescu, B., & Giurcaneanu, C. D. (2017). Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms. Signal Processing, 133, 122-134. 10.1016/j.sigpro.2016.10.023
    URL: http://hdl.handle.net/2292/31528
    Other University of Auckland co-authors: Ciprian Giurcaneanu
  • Maanan, S., Dumitrescu, B., & Giurcaneanu, C. D. (2016). Renormalized maximum likelihood for multivariate autoregressive models. Proceedings of 24th European Signal Processing Conference (EUSIPCO), 150-154. Budapest, Hungary: The European Association for Signal Processing (EURASIP). 10.1109/EUSIPCO.2016.7760228
    URL: http://hdl.handle.net/2292/31494
    Other University of Auckland co-authors: Ciprian Giurcaneanu