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A large deviations approach to limit theory for heavy-tailed time series

A large deviations approach to limit theory for heavy-tailed time series

1 September 2015
T. Mikosch
Olivier Wintenberger
ArXiv (abs)PDFHTML

Papers citing "A large deviations approach to limit theory for heavy-tailed time series"

6 / 6 papers shown
Title
Limit theorems for unbounded cluster functionals of regularly varying
  time series
Limit theorems for unbounded cluster functionals of regularly varying time series
Zaoli Chen
Rafal Kulik
63
3
0
30 Aug 2023
Causality in extremes of time series
Causality in extremes of time series
Juraj Bodik
Z. Pawlas
Milan Paluš
AI4TS
78
8
0
20 Dec 2021
Anomaly Detection for High-Dimensional Data Using Large Deviations
  Principle
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Sreelekha Guggilam
V. Chandola
A. Patra
26
2
0
28 Sep 2021
Estimation of cluster functionals for regularly varying time series:
  runs estimators
Estimation of cluster functionals for regularly varying time series: runs estimators
Youssouph Cissokho
Rafal Kulik
63
3
0
05 Sep 2021
Estimation of cluster functionals for regularly varying time series:
  sliding blocks estimators
Estimation of cluster functionals for regularly varying time series: sliding blocks estimators
Youssouph Cissokho
Rafal Kulik
34
10
0
22 May 2020
The eigenstructure of the sample covariance matrices of high-dimensional
  stochastic volatility models with heavy tails
The eigenstructure of the sample covariance matrices of high-dimensional stochastic volatility models with heavy tails
Johannes Heiny
T. Mikosch
55
12
0
14 Jan 2020
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