Jiti Gao

14 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-4261-0021

Monash University, Melbourne, Australia

Publications

• Identifying the Structure of High-Dimensional Time Series via Eigen-Analysis — Journal of the American Statistical Association 2025
• Higher-Order Expansions and Inference for Panel Data Models — Journal of the American Statistical Association 2024
• Chaohua Dong, Jiti Gao and Oliver Linton’s contribution to the Discussion of ‘Assumption-lean inference for generalised linear model parameters’ by Vansteelandt and Dukes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• CLT for largest eigenvalues and unit root testing for high-dimensional nonstationary time series — The Annals of Statistics 2018
• Variable selection for a categorical varying-coefficient model with identifications for determinants of body mass index — The Annals of Applied Statistics 2017
• High dimensional correlation matrices: the central limit theorem and its applications — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
• Estimation in nonlinear regression with Harris recurrent Markov chains — The Annals of Statistics 2016
• Estimation for single-index and partially linear single-index integrated models — The Annals of Statistics 2016
• Jump detection in generalized error-in-variables regression with an application to Australian health tax policies — The Annals of Applied Statistics 2015
• Testing Independence Among a Large Number of High-Dimensional Random Vectors — Journal of the American Statistical Association 2014
• Bandwidth Selection in Nonparametric Kernel Testing — Journal of the American Statistical Association 2008
• A test for model specification of diffusion processes — The Annals of Statistics 2008
• Estimation in semiparametric spatial regression — The Annals of Statistics 2006
• Semiparametric non-linear time series model selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2004