Statistical Inference for Noisy Vector Autoregression


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Documentation for package ‘hdiVAR’ version 1.0.2

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CV_VARMLE cross-validation for transition matrix update in maximization step
Estep expectation step in sparse expectation-maximization algorithm
hdVARtest statistical inference for transition matrix in high-dimensional vector autoregression with measurement error
kalman kalman filtering and smoothing for vector autoregression with measurement error
Mstep maximization step of sparse expectation-maximization algorithm for updating error standard deviations
sEM sparse expectation-maximization algorithm for high-dimensional vector autoregression with measurement error
VARMLE generalized Dantzig selector for transition matrix update in maximization step