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Showing 2 results for faridrohani
Mrs Azam Rastin, Dr Mohmmadreza Faridrohani, Dr Amirabbas Momenan, Dr Fatemeh Eskandari, Dr Davood Khalili,
Volume 23, Issue 2 (3-2019)
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death worldwide. To specify an appropriate model to determine the risk of CVD and predict survival rate, users are required to specify a functional form which relates the outcome variables to the input ones. In this paper, we proposed a dimension reduction method using a general model, which includes many widely used survival models as special cases.
Using an appropriate combination of dimension reduction and Cox Proportional Hazards model, we found a method which is effective for survival prediction.
Mohammadreza Faridrohani, Behdad Mostafaiy, Seyyed Mohammad Ebrahim Hosseininasab,
Volume 25, Issue 2 (3-2021)
Abstract
Recently with science and technology development, data with functional nature are easy to collect. Hence, statistical analysis of such data is of great importance. Similar to multivariate analysis, linear combinations of random variables have a key role in functional analysis. The role of Theory of Reproducing Kernel Hilbert Spaces is very important in this content. In this paper we study a general concept of Fisher’s linear discriminant analysis that extends the classical multivariate method to the case functional data. A bijective map is used to link a second order process to the reproducing kernel Hilbert space, generated by its within class covariance kernel. Finally a real data set related to Iranian weather data collected in 2008 is also treated.
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