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Kung-Sik Chan

7 papers hereh-index 4410.1k citations173 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • stat.AP2
  • math.ST1
  • stat.OT1
same name
  • Kung-Sik Chan — 5 papers, h 5
  • Kung-Sik Chan — 4 papers, h 2
  • Kung-Sik Chan — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122021
most citedTesting for threshold effects in the TARMA framework

13 citations · 36 across the 7 of their papers we have counts for

collaborators
Showing 2012Show all

4 papers · 1 filter

math.ST2012★ 10 cited

Inference of seasonal long-memory aggregate time series

Kung-Sik Chan, Henghsiu Tsai

Time-series data with regular and/or seasonal long-memory are often aggregated before analysis. Often, the aggregation scale is large enough to remove any short-memory components o…

stat.AP2012★ 10 cited

Semiparametric zero-inflated modeling in multi-ethnic study of atherosclerosis (MESA)

Hai Liu, Shuangge Ma, Richard Kronmal +1

We analyze the Agatston score of coronary artery calcium (CAC) from the Multi-Ethnic Study of Atherosclerosis (MESA) using the semiparametric zero-inflated modeling approach, where…

stat.ME2012★ 1 cited

Discussion of "Feature Matching in Time Series Modeling" by Y. Xia and H. Tong

Kung-Sik Chan, Ruey S. Tsay

Discussion of "Feature Matching in Time Series Modeling" by Y. Xia and H. Tong [arXiv:1104.3073]

stat.ME2012★ 1 cited

Reduced rank regression via adaptive nuclear norm penalization

Kun Chen, Hongbo Dong, Kung-Sik Chan

Adaptive nuclear-norm penalization is proposed for low-rank matrix approximation, by which we develop a new reduced-rank estimation method for the general high-dimensional multivar…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.