Dr Mehrdad Naderi

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. 

• Please visit the Pure Research Information Portal for further information
• 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 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
• A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model, Naderi, M., Bekker, A., Arashi, M., Jamalizadeh, A. 9 Apr 2020, In: PLoS One
• Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum--Saunders mixture model, Naderi, M., Hashemi, F., Bekker, A., Jamalizadeh, A. 1 Jul 2020, In: Applied Mathematics and Computation

Mathematical Statistics PhD