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20192026
most citedTime Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective

14 citations · 18 across the 14 of their papers we have counts for

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Showing econ.EMShow all

5 papers · 1 filter

econ.EM2026

Generalized Spectral Testing with Sample Splitting

Yuxin Tao, Feiyu Jiang, Xiaofeng Shao

Residual-based goodness-of-fit tests for parametric time-series models are often complicated by parameter-estimation effects, which can alter the limiting behavior of diagnostic st…

econ.EM2024

Estimation for conditional moment models based on martingale difference divergence

Kunyang Song, Feiyu Jiang, Ke Zhu

We provide a new estimation method for conditional moment models via the martingale difference divergence (MDD).Our MDD-based estimation method is formed in the framework of a cont…

econ.EM2022

A Consistent ICM-based Specification Test

Feiyu Jiang, Emmanuel Selorm Tsyawo

In spite of the omnibus property of Integrated Conditional Moment (ICM) specification tests, they are not commonly used in empirical practice owing to features such as the non-pivo…

econ.EM2020★ 14 cited

Time Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective

Feiyu Jiang, Zifeng Zhao, Xiaofeng Shao

In this paper, we model the trajectory of the cumulative confirmed cases and deaths of COVID-19 (in log scale) via a piecewise linear trend model. The model naturally captures the…

econ.EM2019

Non-standard inference for augmented double autoregressive models with null volatility coefficients

Feiyu Jiang, Dong Li, Ke Zhu

This paper considers an augmented double autoregressive (DAR) model, which allows null volatility coefficients to circumvent the over-parameterization problem in the DAR model. Sin…