Finite Mixture of Generalized Semiparametric Models: Variable Selection via Penalized Estimation. - Farzad Eskandari; Ehsan Ormoz (Commun. Stat. Simul. Comput., 2016)

Finite Mixture Model of Nonparametric Density Estimation using Sampling Importance Resampling for Persistence Landscape. - Farzad Eskandari; Soroush Pakniat (CoRR, 2018)

Calculating the required cash in bank branches: a Bayesian-data mining approach. - Ghazaleh Baghbani; Farzad Eskandari (Neural Comput. Appl., 2018)

Finding a set of candidate parents using dependency criterion for the K2 algorithm. - Vahid Rezaei Tabar; Farzad Eskandari; Selva Salimi; Hamid Zareifard (Pattern Recognit. Lett., 2018)

Effects of weak identification on the MD estimator in dynamic stochastic general equilibrium models. - Mohammad Taremi; Farzad Eskandari; Mohammad Bameni Moghadam (Commun. Stat. Simul. Comput., 2020)

Asymptotic efficient semiparametric empirical bayes estimation of multinomial responses. - Farzad Eskandari (Commun. Stat. Simul. Comput., 2021)

Variable selection in finite mixture of generalized estimating equations. - H. Rezazadeh; Farzad Eskandari; M. Bameni Moghadam; Ehsan Ormoz (Commun. Stat. Simul. Comput., 2022)

Simultaneous estimation and clustering with finite mixture of nonparanormal graphical models. - Hamid Haji Aghabozorgi; Farzad Eskandari (Commun. Stat. Simul. Comput., 2025)