Reyhaneh Rikhtehgaran

发表

A comparative study on estimation methods to deal with the endogeneity in linear random-intercept models with an extension

G. Verbeke, I. Kazemi, Reyhaneh Rikhtehgaran, 2017 .

An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study

Reyhaneh Rikhtehgaran, 2017 .

Topics on Dynamic Panel Data Models with Random Effects Using Semi-Parametric Bayesian Approach

I. Kazemi, Reyhaneh Rikhtehgaran, 2014 .

Piecewise transition models with random effects for unequally spaced longitudinal measurements

G. Verbeke, E. Lesaffre, I. Kazemi, 2012 .

A population-based cohort study on the association of dietary patterns with sleep duration: A Joint modeling by mental health status

N. Mohammadifard, N. Sarrafzadegan, H. Roohafza, 2020 .

Longitudinal Modeling of Non-Pharmacological Factors Related to Frequency, Severity and Duration in Both Migraine and Tension-Type Headaches

M. Saadatnia, M. Mansourian, A. Zandifar, 2020, Journal of research in health sciences.

A novel approach for evaluation of load bearing capacity of duplex coatings on aluminum alloy using PLS and SVR models

F. Ashrafizadeh, M. Atapour, Reyhaneh Rikhtehgaran, 2022, Transactions of Nonferrous Metals Society of China.

Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures

S. Sadri, Reyhaneh Rikhtehgaran, Behzad Nazari, 2022, Cognitive Neurodynamics.

Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution

I. Kazemi, Reyhaneh Rikhtehgaran, 2013, Computational Statistics.

The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture

I. Kazemi, Reyhaneh Rikhtehgaran, 2016, Advances in Data Analysis and Classification.

Spike sorting: Which clustering method should be chosen? Which circumstances affect this selection?

Behzad Nazari, Saeed Sadri, Reyhaneh Rikhtehgaran, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

Dry Sliding Wear Characteristics of NiP/TiN Duplex Coated Aluminum Alloy and Wear Analysis Using Response Surface Method

F. Ashrafizadeh, M. Atapour, Reyhaneh Rikhtehgaran, 2022, Journal of Materials Engineering and Performance.

Efficient Bayesian approach to saliency detection based on Dirichlet process mixture

Behzad Nazari, Reyhaneh Rikhtehgaran, Navid Rabbani, 2017, IET Image Process..

Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution

Reyhaneh Rikhtehgaran, Iraj Kazemi, I. Kazemi, 2013, Comput. Stat..

Prediction of fabric handle value using ordinal regression model

Mohammad Sheikhzadeh, Ali Sajjadi, Reyhaneh Rikhtehgaran, 2015 .

Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals

S. Hajiahmadi, A. Shayganfar, R. Basiratnia, 2021, Emergency Radiology.

Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran

S. H. Tabatabaei, B. Pradhan, A. B. Pour, 2022, Geocarto International.

Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery

S. H. Tabatabaei, B. Pradhan, A. B. Pour, 2021, Minerals.

Population food intake clusters and cardiovascular disease incidence: a Bayesian quantifying of a prospective population-based cohort study in a low and middle-income country

N. Mohammadifard, N. Sarrafzadegan, M. Mansourian, 2023, Frontiers in nutrition.

Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures

S. Sadri, Reyhaneh Rikhtehgaran, Behzad Nazari, 2022, Cognitive Neurodynamics.

Effects of time‐invariant covariates on the estimation of longitudinal trends for transition mixed models

G. Verbeke, I. Kazemi, Reyhaneh Rikhtehgaran, 2014, Statistics in medicine.