41 citations · 82 across the 7 of their papers we have counts for
7 papers
The -S test via regression quantile affine LASSO
Sylvain Sardy, Ivan Mizera, Xiaoyu Ma +1
A novel test in the linear (LAD) and quantile regressions is proposed, based on the scores provided by the dual variables (signs) arising in the calculation of the (so-cal…
An Alternative Approach to Functional Linear Partial Quantile Regression
Dengdeng Yu, Matthew Pietrosanu, Ivan Mizera +3
Functional data such as curves and surfaces have become more and more common with modern technological advancements. The use of functional predictors remains challenging due to its…
Sparse Wavelet Estimation in Quantile Regression with Multiple Functional Predictors
Dengdeng Yu, Li Zhang, Ivan Mizera +2
In this manuscript, we study quantile regression in partial functional linear model where response is scalar and predictors include both scalars and multiple functions. Wavelet bas…
Partial Functional Linear Quantile Regression for Neuroimaging Data Analysis
Dengdeng Yu, Linglong Kong, Ivan Mizera
We propose a prediction procedure for the functional linear quantile regression model by using partial quantile covariance techniques and develop a simple partial quantile regressi…
Quasi-concave density estimation
Roger Koenker, Ivan Mizera
Maximum likelihood estimation of a log-concave probability density is formulated as a convex optimization problem and shown to have an equivalent dual formulation as a constrained…
Discussion of "Multivariate quantiles and multiple-output regression quantiles: From optimization to halfspace depth"
Linglong Kong, Ivan Mizera
Discussion of "Multivariate quantiles and multiple-output regression quantiles: From optimization to halfspace depth" by M. Hallin, D. Paindaveine and M. Siman [arXiv:1002.44…