Courses

Key courses in PhD period:

Generaized Linear Model:

Charles E. McCulloch, Shayle R. Searle, (2008) Generalized, Linear and Mixed Models​.

 

Statisitcal Pattern Recognition:

Richard O. Duda, Peter E., Hart and David G. Stork, (2000) Pattern Classification.

Theodoridis and Koutroumbas , (2008) Pattern Recognition.

 

Probability Theory:

Kai Lai Chung, (2001) A course in probability theory.

Key courses in MSc period:

Linear Models(1):

Seber, G. A. F. and Lee, A. J, (2003) Linear Regression Analysis, John Wiley & Sons, Inc.

Alvin C. Rencher, G. Bruce Schaalje, (2000) Linear models in statistics, John Wiley & Sons, Inc.

 

Advanced Multivariate Methods(1):

Seber, G. A. F, (1984) Multivariate Observations, John Wiley & Sons, Inc.

 

Neural Networks:

Martin T. Hagan, H Demuth, and M. Beale, (1996) Neural Network Design. PWS Publishing, 

Simon Haykin, (1999) Neural Networks- a Comprehensive Foundation. Prentice Hall.