Research output per year
Research output per year
Personal profile
Biography
Dr. Mehrdad is a Lecturer in Statistics at the School of Engineering, Physics, and Mathematics, Northumbria University. He earned his PhD from Shahid Bahonar University of Kerman in 2017. Before joining Northumbria University in 2023, Dr. Mehrdad gained extensive international research experience through five years of postdoctoral fellowships at prestigious institutions:
- Institute of Statistics, Department of Applied Mathematics, National Chung Hsing University, Taiwan (November 2021 – January 2023)
- Department of Statistics, Ferdowsi University of Mashhad, Iran (March 2021 – November 2021)
- Department of Statistics, University of Pretoria, South Africa (November 2018 – February 2021)
Research 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.
Education/Academic qualification
Mathematical Statistics, PhD, Shahid Bahonar University of Kerman
… → 2017
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Collaborations and top research areas from the last five years
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Research output
- 20 Article
-
Model-based clustering of high-dimensional incomplete data via contaminated-normal mixtures
Shahriari, L., Naderi, M. & Khosravi, M., 1 Nov 2025, (E-pub ahead of print) In: Advances in Data Analysis and Classification. 33 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus) -
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions
Mirfarah, E., Naderi, M., Lin, T. I. & Wang, W. L., 1 Dec 2025, In: Advances in Data Analysis and Classification. 19, 4, p. 921–949 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)1 Downloads (Pure) -
Clustering asymmetrical data with outliers: Parsimonious mixtures of contaminated mean-mixture of normal distributions
Naderi, M. & Nooghabi, M. J., 1 Feb 2024, In: Journal of Computational and Applied Mathematics. 437, 18 p., 115433.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Three-way data clustering based on the mean-mixture of matrix-variate normal distributions
Naderi, M., Tamandi, M., Mirfarah, E., Wang, W. L. & Lin, T. I., 1 Nov 2024, In: Computational Statistics and Data Analysis. 199, p. 1-18 18 p., 108016.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)7 Downloads (Pure) -
Robust mixture regression modeling based on the normal mean-variance mixture distributions
Naderi, M., Mirfarah, E., Wang, W. L. & Lin, T. I., 1 Apr 2023, In: Computational Statistics and Data Analysis. 180, 19 p., 107661.Research output: Contribution to journal › Article › peer-review
13 Citations (Scopus)