For Better Performance Please Use Chrome or Firefox Web Browser

انتشارات

Papers in Journals:

 

  • Mofidian Naeini, A. and Rikhtehgaran, R. (2022) Regularization in dynamic random-intercepts models for analysis of longitudinal data, Scandinavian Journal of Statistics, DOI: 10.1111/sjos.12592

 

  • Rikhtehgaran, R., Shams, S., Mojoudi, E., Nouri, F., Mohammadifard, N., Mansourian, M., Sarrafzadegan, N. Bayesian quantifying diet intake and its association with cardiometabolic risk in a prospective population-based cohort study. (Under review)

 

  • Davoodi, F., Atapour, M., Ashrafizadeh, F., Rikhtehgaran, R.  (2022). Dry sliding wear characteristics of NiP/TiN duplex coated aluminum alloy and wear analysis using RSM, Journal of Materials Engineering and Performance. DOI: DOI: 10.1007/s11665-022-06695-7 

 

  • Foroozmehr, F., Nazari, B., Sadri, S.,  Rikhtehgaran, R. (2022). Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures. Cognitive Neurodynamics. DOI: 10.1007/s11571-022-09781-7

 

  • Davoodi, F., Ashrafizadeh, F., Atapour, M., Rikhtehgaran, R.  A novel approach for evaluation of load bearing capacity of duplex coatings on aluminum alloy using PLS and SVR models. Transactions of Nonferrous Metals Society of China 32 (6), 1834-1851

 

  • Yousefi, M., Tabatabaei, S.H., Rikhtehgaran, R., Beiranvand Pour, A., Pradhan, B. (2022). 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, Geocarto International, 1-29, DOI: 10.1080/10106049.2022.2025917

 

  • Hosseini, S., Rikhtehgaran, R., Mohammadifard, N., Roohafza, H., Sadeghi, M., Mansourian, M., Sarrafzadegan, N. A population-based cohort study of the association between dietary patterns and sleep duration as well as mental health status: A joint modelling approach. (2021). Iranian Journal of Public Health. DOI: 10.21203/rs.3.rs-37401/v1

 

  • Yousefi, M., Tabatabaei, S.H., Rikhtehgaran, R., Beiranvand Pour, A., Pradhan, B. (2021). Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery. Minerals 11(11), 1235; DOI: 10.3390/min11111235

 

  • Shayganfar, A., Sami, R., Sadeghi, S., Dehghan, M., Khademi, N., Rikhtehgaran, R., Basiratnia, R., Ferdosi, F., Hajiahmadi, S. (2021). 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, Emergency Radiology, 1-7, DOI: 10.1007/s10140-021-01903-8

 

  • Hosseini, S., Rikhtehgaran, R., Saadatnia, M., and Mansourian M. (2020). Longitudinal Modeling of Non-Pharmacological Factors Related to Frequency, Severity and Duration in Both Migraine and Tension-Type Headaches, Journal of Research in Health Sciences 20(4): e00495. DOI: 10.34172/jrhs.2020.29

 

  • Abdolahi, R., Haghshenas, and H., Rikhtehgaran, R. (2019). Modeling of the Impact of Geometric Design, Topography and Road Access in Rural Road Accidents by Factor Analysis and Generalized Linear Regression (Case Study: Ways of Kerman Province), Journal of Transportation Engineering, 11, 1(42), 1-20.

 

  • Rabbani, N., Nazari, B., Sadri, S. and Rikhtehgaran, R. (2017). Efficient Bayesian approach to saliency detection based on Dirichlet process mixture, IET Image Processing, 1103-1113.

 

  • Rikhtehgaran, R. (2017).  An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study, Statistical Modelling: An International Journal, 17(6), 1-20.

 

  • Rikhtehgaran, R., Kazemi, I. and Verbeke, G. (2016). A comparative study on estimation methods to deal with the endogeneity in linear random-intercept models with an extension, Journal of Statistical Computation and Simulation, 1(87) 171-186.

 

  • Rikhtehgaran, R. and Kazemi, I. (2016). The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture, Advances in Data Analysis and Classification, 10, 541-562.

 

  • Sajjadi, A., Sheikhzadeh, M., Rikhtehgaran, R. and Hajrasouliha, J. (2015). Prediction of fabric handle value using ordinal regression model. The Journal of the Textile Institute. 106(11), 1161-1172.

 

  • Shams, E., Rikhtehgaran, R. and Kelishadi, R. (2015), A Bayesian approach to regression clustering of Iranian children and adolescence based on risk of cardiovascular disease and diabetes. Journal of Health System Research. 422-434. (in Persian) (ISC Journal)

 

  • Rikhtehgaran, R., Kazemi, I. and Verbeke, G. (2014). Effects of time-invariant covariates on the estimation of longitudinal trends for transition mixed models. Statistics in Medicine. 33(27), 4743-4755.

 

  • Kazemi, I. and Rikhtehgaran, R. (2014). Topics on dynamic panel data models with random effects using semi-parametric Bayesian approach. Communications in Statistics- Theory and Methods, 43: 1630-1648.

 

  • Rikhtehgaran, R. and Kazemi, I. (2013). Semi-parametric Bayesian estimation of mixed-effects models using a multivariate skew-normal distribution. Computational Statistics,2007-2027.

 

  • Rikhtehgaran, R., Kazemi, I., Verbeke, G., Kort, W.D. and Lesaffre, E., (2012). Piecewise transition models with random effects for unequally-spaced longitudinal measurements. Statistical Modelling: An International Journal, 12 (6), 503-525.

 

Publications and presentations in conferences

• Mofidian Naeini, A. and Rikhtehgaran, R. (2020). The Initial Conditions Problem in L1 Regularization of Dynamic Random-Intercepts Models, Proceeding of the 51th Annual Iranian Mathematic Conference.

 

• Tavakoli, Z. and Rikhtehgaran, R. (2017). Endogeneity problem in recurrent event data analysis, Proceeding of the 3nd Seminar on Reliability Theory and Its Application, Mashhad, 310-315.


• Foroozmehr, F., Nazari, B., Sadri, S. and Rikhtehgaran, R. (2017). Spike sorting Which clustering method should be chosen Which circumstances affect this selection, Proceeding of the 25th Iranian Conference on Electrical Engineering (ICEE2017), Tehran  55-60.
 

• Shams, E. and Rikhtehgaran, R.  (2016). Clustering individuals with longitudinal observations based on their distributional behavior via Dirichlet processes, Proceeding of the 13th  Iranian Statistical Conference, Kerman, Iran. 637-643.


• Mofidian, A.. and Rikhtehgaran, R.  (2016). Bayesian semi-parametric approach to clustering longitudinal count data with missing values, Proceeding of the 13th  Iranian Statistical Conference, Kerman, Iran, 382-388.


• Malekiyan, M. and Rikhtehgaran, R. (2016). Joint modeling of survival and longitudinal data by handling the initial conditions problem. The proceeding of the 2nd Seminar on Reliability Theory and Its Application, Tehran, Iran  82-85.


Rikhtehgaran, R., Mofidian, A. and Kazemi, I. (2016) A semi-parametric model-based clustering of subjects with longitudinal observations,  The proceeding of the first expertise (specialized) seminar in Nonparametric Statistics and its applications, Tehran, Iran, 40-43.


• Shams, E. and Rikhtehgaran, R. (2015). Dirichlet processes applied to clustering of longitudinal data via piecewise mixed-effects models. Proceeding of the 10th Seminar on Probability and Stochastic Processes, Yazd, Iran, 485-492.


• Shams, E. and Rikhtehgaran, R.  (2015). Clustering of longitudinal data based on a random change-point model using Dirichlet processes, Proceeding of the 46th Annual Iranian Mathematics Conference, Yazd, Iran, 594-597.


Rikhtehgaran, R. and Kazemi, I. (2014). Robust Clustring of longitudinal data using a semiparametric Bayesian approach based on the Dirichlet-t distribution. Proceeding of the 12th Iranian Statistical Conferences, Kermanshah, Iran,


Rikhtehgaran, R. and Kazemi, I. (2013). Dirichlet process as a mixing prior for Normal/independent distributions in fitting linear mixed models. Proceeding of the 9th Seminar on Probability and Stochastic Processes, Zahedan, Iran, 494-501.


Rikhtehgaran, R. and Kazemi, I. (2012). Applying skew-normal distributions in Dirichlet processes for mixed-effects modeling. Proceeding of the 11th Iranian Statistical Conferences, Tehran, Iran, 534-541.


Rikhtehgaran, R., Kazemi, I., Verbeke, G., Kort, W.D. and Lesaffre, E. (2012). Piecewise transition models with random effects for unequally-spaced measurements. Proceeding of the 27th International Workshop on Statistical Modelling (IWSM), Prague, Czech Republic, 279-284.


Rikhtehgaran, R. and Kazemi, I., (2010). Semi-parametric Bayesian Models for Transition Longitudinal Data, Proceeding of the 10th Iranian Statistical Conferences, Tabriz, Iran, 352-359.


Rikhtehgaran, R., Sadri, S. and Taheri, S.M., (2007). A Bayesian approach to image interpretation, Proceeding of the 4th Iranian Conference on Machine Vision and Image Processing, Mashhad, Iran, 997-1004.


Rikhtehgaran, R. and Sadri, S. and Taheri, S.M. (2007) Unsupervised segmentation of color images in a Markovian framework, Proceeding of the 15th Iranian Conference on Electrical Engineering, Tehran, Iran.


Rikhtehgaran, R. and Sadri, S. and Taheri, S.M., (2007). Interpretation of image regions using Markov random Fields, Proceeding of the 6th Seminar on Probability and Stochastic Processes, Babolsar, Iran.

تحت نظارت وف ایرانی