activity
20082023
most citedQuotient correlation: A sample based alternative to Pearson's correlation

69 citations · 75 across the 7 of their papers we have counts for

collaborators

7 papers

math.ST2023★ 1 cited

Extreme Limit Theory of Competing Risks under Power Normalization

Kaihao Hu, Kai Wang, Corina Constantinescu +2

Advanced science and technology provide a wealth of big data from different sources for extreme value analysis. Classical extreme value theory was extended to obtain an accelerated…

stat.AP2023

Spatio-temporal Joint Modelling on Moderate and Extreme Air Pollution in Spain

Kai Wang, Chengxiu Ling, Ying Chen +1

Very unhealthy air quality is consistently connected with numerous diseases. Appropriate extreme analysis and accurate predictions are in rising demand for exploring potential link…

stat.AP2021

Modeling and Decoupling Systemic Risk

Jingyu Ji, Deyuan Li, Zhengjun Zhang

Identifying systemic risk patterns in geopolitical, economic, financial, environmental, transportation, epidemiological systems and their impacts is the key to risk management. Thi…

stat.ME2018★ 1 cited

Modeling Multivariate Time Series with Copula-linked Univariate D-vines

Zifeng Zhao, Peng Shi, Zhengjun Zhang

This paper proposes a novel multivariate time series model named Copula-linked univariate D-vines (CuDvine), which enables the simultaneous copula-based modeling of both temporal a…

stat.AP2014

Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard

Qiurong Cui, Karl Rohe, Zhengjun Zhang

Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard [arXiv:1209.0089].

math.PR2012★ 4 cited

Intrinsically Weighted Means of Marked Point Processes

Alexander Malinowski, Martin Schlather, Zhengjun Zhang

For a non-stationary or non-ergodic marked point process (MPP) on , the definition of averages becomes ambiguous as the process might have a different stochastic behavior in…