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Tiandong Wang

37 papers hereh-index 13564 citations38 works total

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

author position
  • sole author1
  • first author12
  • middle author13
  • last author11

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • math.ST9
  • stat.ME8
  • math.PR6
  • physics.soc-ph4
  • stat.AP3
  • q-fin.PM2
same name
  • Tiandong Wang — 1 paper

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
20152026
most citedOn a minimum distance procedure for threshold selection in tail analysis

23 citations · 49 across the 36 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

math.ST2025

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…

math.ST2025

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…

q-fin.PM2025

Systemic Risk Management via Maximum Independent Set in Extremal Dependence Networks

Qian Hui, Tiandong Wang

The failure of key financial institutions may accelerate risk contagion due to their interconnections within the system. In this paper, we propose a robust portfolio strategy to mi…

stat.AP2025

Measuring Interlayer Dependence of Large Degrees in Multilayer Inhomogeneous Random Graphs

Zhuoye Han, Tiandong Wang

Accurately capturing interlayer dependence is essential for understanding the structure of complex multilayer networks. We propose an upper tail dependence estimator specifically d…

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