seminars:stat:151119
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| + | of responses and predictors is large and comparable with the number of observations. One | ||
| + | approach uses the reduced-rank regression, in which the rank of the | ||
| + | coe fficient matrix is assumed to be small. I will relate this problem to certain problems in random matrix theory. I will also talk about algorithms for the model rank selection and about consistent estimation of the singular values of the coefficient matrix. | ||
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