We investigate a generalized linear model for dimensionality reduction of binary data. The model is related to principal component analysis (PCA) in the same way that logistic regression is related to linear regression. Thus we refer to the model as logistic PCA. In this paper, we derive an alternating least squares method to estimate the basis vectors and generalized linear coefficients of the...

This paper proposes a Mel Frequency Cepstral Coefficient (MFCC) based hybrid algorithm for motor imagery classification of Electroencephalogram (EEG) signal for Brain Computer Interface (BCI). The proposed hybrid algorithm contains MFCC with Hjorth Parameter. Regression coefficient method was used for eye artifacts cancellation. The feature extraction method based on the difference of the diffe...

In this paper, a covariance matrix of circulant correlation, R, is studied. A pattern of entries in R−1 independent of the value ρ of the correlation coefficient is proved based on a recursive relation among the entries of R−1. The D-optimal design for simple linear regression with circulantly correlated observations on [a, b] (a < b) is obtained if even observations are taken and the correlati...

We analyze in a regression setting the link between a scalar response and a functional predictor by means of a Functional Generalized Linear Model. We first give a theoretical framework and then discuss identifiability of the model. The functional coefficient of the model is estimated via penalized likelihood with spline approximation. The L2 rate of convergence of this estimator is given under...

chickpea (cicer arietinum l.) is a native crop of asia which is grown worldwide including iran.in this study,different selection criteria including correlation,regression and path analysis were used to improve yield.the experimental design was split plot with rcbd replicated four times in which three sowing dates (5 january,4 february,and 5 march) were used in main plots and four genotypes;two ...

Longitudinal trends of observations can be estimated using the generalized multivariate analysis of variance (GMANOVA) model proposed by [10]. In the present paper, we consider estimating the trends nonparametrically using known basis functions. Then, as in nonparametric regression, an overfitting problem occurs. [13] showed that the GMANOVA model is equivalent to the varying coefficient model ...

Introduction: The human stature forms part of his or her biological profile. It becomes more important during personal identification in case of mass disasters and in search of missing persons. We measured various parameters of the dried tibia, then by applying linear regression we formulated maximum tibia length which can be conveniently used for arriving at human stature. Methods: The obtain...