7 papers
Improving the Power of Bonferroni Adjustments under Joint Normality and Exchangeability
Caleb Hiltunen, Yeonwoo Rho
Bonferroni's correction is a popular tool to address multiplicity but is notorious for its low power when tests are dependent. This paper proposes a practical modification of Bonfe…
Change point analysis of high-dimensional data using random projections
Yi Xu, Yeonwoo Rho
This paper develops a novel change point identification method for high-dimensional data using random projections. By projecting high-dimensional time series into a one-dimensional…
Heavy-tailed -value combinations from the perspective of extreme value theory
Yeonwoo Rho
Handling multiplicity without losing much power has been a persistent challenge in various fields that often face the necessity of managing numerous statistical tests simultaneousl…
Stable combination tests
Xing Ling, Yeonwoo Rho
This paper proposes a stable combination test, which is a natural extension of Cauchy combination tests by Liu and Xie (2020). Similarly to the Cauchy combination test, our stable…
Revealing Cluster Structures Based on Mixed Sampling Frequencies
Yeonwoo Rho, Yun Liu, Hie Joo Ahn
This paper proposes a new linearized mixed data sampling (MIDAS) model and develops a framework to infer clusters in a panel regression with mixed frequency data. The linearized MI…
On the Choice of Instruments in Mixed Frequency Specification Tests
Yun Liu, Yeonwoo Rho
Time averaging has been the traditional approach to handle mixed sampling frequencies. However, it ignores information possibly embedded in high frequency. Mixed data sampling (MID…
Bootstrap-Assisted Unit Root Testing With Piecewise Locally Stationary Errors
Yeonwoo Rho, Xiaofeng Shao
In unit root testing, a piecewise locally stationary process is adopted to accommodate nonstationary errors that can have both smooth and abrupt changes in second- or higher-order…