# Generalized high-dimensional trace regression via nuclear norm regularization

*Jianqing Fan*,
*Wenyan Gong* and
*Ziwei Zhu*

*Journal of Econometrics*, 2019, vol. 212, issue 1, 177-202

**Abstract:**
We study the generalized trace regression with a near low-rank regression coefficient matrix, which extends notion of sparsity for regression coefficient vectors. Specifically, given a matrix covariate X, the probability density function of the response Y is f(Y|X)=c(Y)exp(ϕ−1−Yη∗+b(η∗)), where η∗=tr(Θ∗TX). This model accommodates various types of responses and embraces many important problem setups such as reduced-rank regression, matrix regression that accommodates a panel of regressors, matrix completion, among others. We estimate Θ∗ through minimizing empirical negative log-likelihood plus nuclear norm penalty. We first establish a general theory and then for each specific problem, we derive explicitly the statistical rate of the proposed estimator. They all match the minimax rates in the linear trace regression up to logarithmic factors. Numerical studies confirm the rates we established and demonstrate the advantage of generalized trace regression over linear trace regression when the response is dichotomous. We also show the benefit of incorporating nuclear norm regularization in dynamic stock return prediction and in image classification.

**Keywords:** High dimensional statistics; Trace regression; Nuclear norm regularization; Logistic regression; Restricted strong convexity; Matrix completion (search for similar items in EconPapers)

**Date:** 2019

**References:** View references in EconPapers View complete reference list from CitEc

**Citations:** View citations in EconPapers (1) Track citations by RSS feed

**Downloads:** (external link)

http://www.sciencedirect.com/science/article/pii/S0304407619300818

Full text for ScienceDirect subscribers only

**Related works:**

This item may be available elsewhere in EconPapers: Search for items with the same title.

**Export reference:** BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text

**Persistent link:** https://EconPapers.repec.org/RePEc:eee:econom:v:212:y:2019:i:1:p:177-202

**DOI:** 10.1016/j.jeconom.2019.04.026

Access Statistics for this article

Journal of Econometrics is currently edited by *T. Amemiya*, *A. R. Gallant*, *J. F. Geweke*, *C. Hsiao* and *P. M. Robinson*

More articles in Journal of Econometrics from Elsevier

Bibliographic data for series maintained by Haili He ().