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Implementation of methods and simulation source for "Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors".
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Daniel Kapla b8064c90ef add: rtensornorm (sample tensor normal), 
add: mcrossprod (mode crossprod),
wip: simulations,
add: notes on multi-array (tensor) normal sampling,
wip: initial estimates for alpha, beta,
 fix: scaling in kpir_approx
 		2022-05-06 22:27:24 +02:00
LaTeX add: rtensornorm (sample tensor normal), 2022-05-06 22:27:24 +02:00
eeg_analysis add (initial): source 2020-06-10 16:35:27 +02:00
examples add (initial): source 2020-06-10 16:35:27 +02:00
simulations add: rtensornorm (sample tensor normal), 2022-05-06 22:27:24 +02:00
tensorPredictors add: rtensornorm (sample tensor normal), 2022-05-06 22:27:24 +02:00
.gitignore wip: convert to package 2021-11-04 13:05:15 +01:00
LICENSE Initial commit 2020-06-10 14:26:41 +00:00
README.md Initial commit 2020-06-10 14:26:41 +00:00

README.md

tensor_predictors

Implementation of methods and simulation source for "Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors".