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20182025
most citedQuasi-maximum likelihood estimation of break point in high-dimensional factor models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

econ.EM2025

Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models

Jiangtao Duan, Jushan Bai, Xu Han

This paper proposes a quasi-maximum likelihood (QML) estimator for break points in high-dimensional factor models, specifically accounting for multiple structural breaks. We begin…

econ.EM20211 cited

Quasi-maximum likelihood estimation of break point in high-dimensional factor models

Jiangtao Duan, Jushan Bai, Xu Han

This paper estimates the break point for large-dimensional factor models with a single structural break in factor loadings at a common unknown date. First, we propose a quasi-maxim…

math.ST2021

Efficient computational algorithms for approximate optimal designs

Jiangtao Duan, Wei Gao, Yanyuan Ma +1

In this paper, we propose two simple yet efficient computational algorithms to obtain approximate optimal designs for multi-dimensional linear regression on a large variety of desi…

econ.EM2019

Subspace Clustering for Panel Data with Interactive Effects

Jiangtao Duan, Wei Gao, Hao Qu +1

In this paper, a statistical model for panel data with unobservable grouped factor structures which are correlated with the regressors and the group membership can be unknown. The…

stat.CO2018

Efficient Computational Algorithm for Optimal Continuous Experimental Designs

Jiangtao Duan, Wei Gao, Hon Keung Tony Ng

A simple yet efficient computational algorithm for computing the continuous optimal experimental design for linear models is proposed. An alternative proof the monotonic convergenc…