Theses supervised
#
Title
Persons
1
Modeling Zero-Inflated Count Responses Using Random Forests
حفیظ الله حیدری
2
Improved Random Forest for Correlated Data: Introducing Mixed-Effects RandomForest
عاطفه اسدی شیخ رباط
3
Extending Mixed Effects Regression Trees Longitudinal and Clustered MultivariateResponses
شاهین امیدی
Theses advised
#
Title
Persons
1
Psychometric Properties of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS) and its relationship with perceived motor competence in Iranian adolescents
امیر شعبانی داشبلاغ
Published articles
#
Paper title
Writer
Magazine title
Publish year
Publish type
Article type
1
Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective
Elham Tabrizi, Mohadeseh Alsadat Farzammehr
Journal of Sciences Islamic Republic of Iran
2025
Full Text
2
Using machine learning to predict performance of trial court administration: An empirical study with iranian performance indicators of trial case processing
Mohadeseh A Farzammehr, Elham Tabrizi, Meisam Moghimbeygi
Journal of Statistical Research
2024
Full Text
3
Joint Linear Modeling of Mixed Data and Its Application to Email Analysis
Ehsan Bahrami Samani, Elham Tabrizi
Sankhya B
2023
Full Text
4
Identifiability of Longitudinal Regression Models with Response Variables Observed on (0, 1) or [0, 1]
Elham Tabrizi, Ehsan Bahrami Samani
Thailand Statistician
2023
Full Text
5
Conditions for interior based constrained prior distributions to ensure probability density
Amirhossein Ghatari, Elham Tabrizi
Journal of Statistical Modelling: Theory and Applications
2022
Full Text
6
A Note on the Identifiability of General Bayesian Gaussian Models
Ghatari Amirhossein, Ashkan Shabbak, Elham Tabrizi
Journal of Statistical Research of Iran
2022
Full Text
7
General location multivariate latent variable models for mixed correlated bounded continuous, ordinal, and nominal responses with non-ignorable missing data
Elham Tabrizi, Ehsan Bahrami Samani, Mojtaba Ganjali
JOURNAL OF APPLIED STATISTICS
2021
Full Text
8
A note on the identifiability of latent variable models for mixed longitudinal data
Elham Tabrizi, Ehsan Bahrami Samani, Mojtaba Ganjali
STATISTICS and PROBABILITY LETTERS
2020
Full Text
9
Identifiability of parameters in longitudinal correlated Poisson and inflated beta regression model with non-ignorable missing mechanism
Elham Tabrizi, Ehsan Bahrami Samani, Mojtaba Ganjali
STATISTICS
2020
Full Text
10
Analysis of mixed correlated bivariate zero-inflated count and(k,l)-inflated beta responses with application to social network datasets
Elham Tabrizi, E. Bahrami Samani, M. Ganjali
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
2019
Full Text
11
Sensitivity Analysis in Correlated Bivariate Continuous and Binary Responses
Tahmasebinejad Zhaleh, Elham Tabrizi
Applications and Applied Mathematics: An International Journal (AAM)
2015
Full Text
12
Gaussian Copula Mixed Models with Non-Ignorable MissingGaussian Copula Mixed Models with Non-Ignorable Missing OutcomesOutcomes
Jafari Naseh, Elham Tabrizi, Bahrami Samani Ehsan
Applications and Applied Mathematics: An International Journal (AAM)
2015
Full Text
Presented articles
#
Title
Writer
Conference
Date
Presentation type
1
Weather Patterns and Criminal Behavior: Insights from Linear Mixed Effect Models
Elham Tabrizi, Raziyeh Saberi
17th iranian statistics conference - Iran
1403/05/30
Oral
2
Machine-Learning Models for Predicting the Class of Divorce Cases in Iranian Judiciary Courts
Elham Tabrizi, Mohadeseh Farzammehr
5th Seminar on Spatial Statistics and Its Applications - Iran
1402/08/03
Oral