daniel/tensor_predictors
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daniel 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
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
LaTeX
add: rtensornorm (sample tensor normal),
2022-05-06 22:27:24 +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".

Description
Implementation of methods and simulation source for "Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors".
Readme 13 MiB
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TeX 43.7%
R 30.2%
C++ 19.6%
C 6.4%
Shell 0.1%