research
∙
04/25/2022
Online Deep Learning from Doubly-Streaming Data
This paper investigates a new online learning problem with doubly-stream...
share
research
∙
05/04/2021
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Many panel data have the latent subgroup effect on individuals, and it i...
research
∙
09/14/2019
High-dimensional vector autoregressive time series modeling via tensor decomposition
The classical vector autoregressive model is a fundamental tool for mult...
research
∙
02/10/2018
A General Framework For Frequentist Model Averaging
Model selection strategies have been routinely employed to determine a m...
research
∙
08/18/2017
A debiased distributed estimation for sparse partially linear models in diverging dimensions
We consider a distributed estimation of the double-penalized least squar...
research
∙
06/02/2009
Total Variation, Adaptive Total Variation and Nonconvex Smoothly Clipped Absolute Deviation Penalty for Denoising Blocky Images
The total variation-based image denoising model has been generalized and...
research
∙
02/09/2008
Bayesian Nonlinear Principal Component Analysis Using Random Fields
We propose a novel model for nonlinear dimension reduction motivated by ...
research
∙
09/12/2007