5 citations · 13 across the 19 of their papers we have counts for
8 papers · 1 filter
Pooling Mobility Obscures Epidemic Invasion Routes
Tiandong Wang, Wei Yang
Epidemic models often pool air travel, commuting, and other mobility layers into a single weighted network. Pooling keeps the total imported infections into a region but discards t…
Hub Neighbor-Degree Diagnostics for Sparse Random Graphs
Qian Hui, Tiandong Wang
Networks with nearly identical degree distributions can place their hubs in sharply different neighborhoods. We develop a model diagnostic based on the mean degree of the neighbors…
Structural Causal Models for Extremes: an Approach Based on Exponent Measures
Shuyang Bai, Fei Fang, Tiandong Wang
We introduce a new formulation of structural causal models for extremes, called the extremal structural causal model (eSCM). Unlike conventional structural causal models, where ran…
Classification of Extremal Dependence in Financial Markets via Bootstrap Inference
Qian Hui, Sidney I. Resnick, Tiandong Wang
Accurately identifying the extremal dependence structure in multivariate heavy-tailed data is a fundamental yet challenging task, particularly in financial applications. Following…
On tail inference in scale-free inhomogeneous random graphs
Daniel Cirkovic, Tiandong Wang, Daren B. H. Cline
Both empirical and theoretical investigations of scale-free network models have found that large degrees in a network exert an outsized impact on its structure. However, the tools…
2RV+HRV and Testing for Strong VS Full Dependence
Tiandong Wang, Sidney I. Resnick
Preferential attachment models of network growth are bivariate heavy tailed models for in- and out-degree with limit measures which either concentrate on a ray of positive slope fr…