Dr Mehrdad Naderi

Lecturer

Department: Mathematics, Physics and Electrical Engineering

Dr Mehrdad works as a Lecturer of Statistics in the Department of Mathematics, Physics, and Electrical Engineering at 51��. He completed his PhD at Shahid Bahonar University of Kerman in 2017. Prior to joining NU in 2023, he was a postdoctoral research fellow for five years at:

Department of Applied Mathematics, Institute of Statistics National Chung Hsing University, Taichung-Taiwan (November 2021 - January 2023)
Department of Statistics, Ferdowsi University of Mashhad, Mashhad-Iran (March 2021 - November 2021)
Department of Statistics, University of Pretoria, Pretoria-South Africa (November 2018 - February 2021)

Email Mehrdad

Research Themes and Scholarly Interests

His statistical research primarily is in the related fields of classification, cluster analyses, factor analysis, linear modeling, as well as multivariate and matrix-variate analyses in the field of applied statistical inference. He focuses on using finite mixture models and on estimation via the EM algorithm. A common theme of his research in these fields has been statistical computation, with particular attention being given to the methodology of distribution theory.

Key Publications

Clustering asymmetrical data with outliers: Parsimonious mixtures of contaminated mean-mixture of normal distributions, Naderi, M., Nooghabi, M. 1 Feb 2024, In: Journal of Computational and Applied Mathematics
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions, Mirfarah, E., Naderi, M., Lin, T., Wang, W. 17 Oct 2024, In: Advances in Data Analysis and Classification
Three-way data clustering based on the mean-mixture of matrix-variate normal distributions, Naderi, M., Tamandi, M., Mirfarah, E., Wang, W., Lin, T. 1 Nov 2024, In: Computational Statistics and Data Analysis
Robust mixture regression modeling based on the normal mean-variance mixture distributions, Naderi, M., Mirfarah, E., Wang, W., Lin, T. 1 Apr 2023, In: Computational Statistics and Data Analysis
Multivariate measurement error models with normal mean-variance mixture distributions, Mirfarah, E., Naderi, M., Lin, T., Wang, W. 1 Dec 2022, In: Stat
Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data, Naderi, M., Mirfarah, E., Bernhardt, M., Chen, D. 10 Sep 2022, In: Journal of Applied Statistics
Stress–strength reliability inference for the Pareto distribution with outliers, Jabbari Nooghabi, M., Naderi, M. 1 Apr 2022, In: Journal of Computational and Applied Mathematics
A flexible factor analysis based on the class of mean-mixture of normal distributions, Hashemi, F., Naderi, M., Jamalizadeh, A., Bekker, A. 1 May 2021, In: Computational Statistics Data Analysis
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions, Mirfarah, E., Naderi, M., Chen, D. 1 Jun 2021, In: Computational Statistics and Data Analysis
A skew factor analysis model based on the normal mean--variance mixture of Birnbaum--Saunders distribution, Hashemi, F., Naderi, M., Jamalizadeh, A., Lin, T. 9 Dec 2020, In: Journal of Applied Statistics

Qualifications

Mathematical Statistics PhD

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