No. |
Student |
Date of Defence |
Field |
Topic |
Supervisor/ Advisor |
15 | Nasim Gholami |
August 2011 | Applied Mathematics | conditionally positive definite kernel and its applications |
SuperVisor |
14 | Maliheh Abbasi |
October 2013 | Statistics | Application of Generalized Additive Models in Spatio-temporal Data |
SuperVisor |
13 | Yaser Mohammadi |
November 2013 | Statistics | Fixed Rank Filtering for Large Spatial-Temporal Datasets |
SuperVisor |
12 | Najmeh Akbari |
October 2013 | Statistics | Bayesian Approach for Stochastic Volatility Models |
Advisor |
11 | Amir Azarbadgan |
February 2014 | Statistics | Relation between Kalman Filter and Spatio-Temporal Gaussian Process Regression |
SuperVisor |
10 | Akbar Hasanzadeh |
January 2014 | Statistics | A composite likelihood approach for space-time covariance estimation |
SuperVisor |
9 | Elmira Katanchi |
February 2014 | Biotechnology | Study and in silico identification of palindrome regions in rice genome and validation of some palindrome-based primers for genetic analyses |
SuperVisor |
8 | Ami Mousavi |
February 2015 | Statistics | Robust fits for Generalized Additive Models |
SuperVisor |
7 | Roghaye farajzadeh |
February 2015 | Statistics | M-type Estimators For Generalized Additive Models |
SuperVisor |
6 | Serveh Mohammadi |
September 2014 | Statistics | Block composite likelihood for spatial data |
SuperVisor |
5 | Touran Gheibi |
September 2014 | Statistics | Estimating covariance function for large data sets using a weighted composite likelihood approach |
SuperVisor |
4 | Vahid Ebrahimi |
September 2014 | Statistics | Properties of maximum composite likelihood estimate |
SuperVisor |
3 | Fatemeh Najafi |
October 2014 | Statistics | A Bayesian Lasso regression via reversible-jummp MCMC |
Advisor |
2 | Zeinab Aghazadeh |
September 2014 | Applied Mathematics | solving possibilistic linear programming problem considering membership function of the coefficients |
Advisor |
1 | Sona Shafaghi |
February 2015 | Statistics | Bayesian Lasso Binary Quantile Regression |
Advisor |