Phyllis Wan

activity

20162024

most citedAre Extreme Value Estimation Methods Useful for Network Data?

2 citations · 5 across the 4 of their papers we have counts for

collaborators

Showing 2019Show all

3 papers · 1 filter

stat.AP2019★ 1 cited

Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks

Juan-Juan Cai, Phyllis Wan, Gamze Ozel

In an earthquake event, the combination of a strong mainshock and damaging aftershocks is often the cause of severe structural damages and/or high death tolls. The objective of thi…

stat.ME2019★ 1 cited

$k$ -means clustering of extremes

Anja Janßen, Phyllis Wan

The $k$ -means clustering algorithm and its variant, the spherical $k$ -means clustering, are among the most important and popular methods in unsupervised learning and pattern detect…

math.ST2019★ 1 cited

Goodness-of-Fit Testing for Time Series Models via Distance Covariance

Phyllis Wan, Richard A. Davis

In many statistical modeling frameworks, goodness-of-fit tests are typically administered to the estimated residuals. In the time series setting, whiteness of the residuals is asse…

Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks

k-means clustering of extremes

Goodness-of-Fit Testing for Time Series Models via Distance Covariance

$k$ -means clustering of extremes