Functional regressionGeometric medianOnline learningStochastic gradient descentWe propose a novel and robust online function-on-scalar regression technique via geometric median to learn associations between functional responses and scalar covariates based on massive or streaming datasets. The online estimation ...
We propose a function-on-function regression model that predicts a functional response by both a nonlinear dynamic effect of a functional predictor and a linear concurrent effect of another functional predictor. The nonlinear dynamic effect is characterized by taking an integral of a time-dependent tw...
variance-covariance matrix for the explanatory variables in the regression model. residual.squares the sum of the squares of the residuals. condition.number numeric scalar representing the estimated reciprocal condition number of X'X (moment or crossprod) matrix. rank integer scalar denoting the numeric...
Median regression function-based approach 5.3.1 Initial regression analysis using the mapping function 5.3.2 Additional geometric properties 5.3.3 Frequency oscillation state estimation 5.3.4 Interacting multiple model (IMM)-based fusion 5.3.5 Residual generation using error matrix 5.3.6 Residual evaluatio...
Because the partial derivative is taken with respect to the innovation, the presence of deterministic terms in the model, such as the constant and the exogenous regression component, has no effect on the impulse responses. Properties of the IRF determine characteristics of the process: If the ...
The ArcGIS Enterprise Software Development Kit (SDK) allows developers to extend the functionality of ArcGIS Server map services published via ArcGIS Pro.
variance-covariance matrix for the explanatory variables in the regression model.residual.squaresthe sum of the squares of the residuals.condition.numbernumeric scalar representing the estimated reciprocal condition number of X'X (moment or crossprod) matrix....
The ArcGIS Enterprise Software Development Kit (SDK) allows developers to extend the functionality of ArcGIS Server map services published via ArcGIS Pro.
variance-covariance matrix for the explanatory variables in the regression model. residual.squares the sum of the squares of the residuals. condition.number numeric scalar representing the estimated reciprocal condition number of X'X (moment or crossprod) matrix. rank integer scalar denoting the numeric...
variance-covariance matrix for the explanatory variables in the regression model. residual.squares the sum of the squares of the residuals. condition.number numeric scalar representing the estimated reciprocal condition number of X'X (moment or crossprod) matrix. rank integer scalar denoting the numeric...