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Lead-lag detection and network clustering for multivariate time series
  with an application to the US equity market

Lead-lag detection and network clustering for multivariate time series with an application to the US equity market

20 January 2022
Stefanos Bennett
Mihai Cucuringu
Gesine Reinert
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Lead-lag detection and network clustering for multivariate time series with an application to the US equity market"

14 / 14 papers shown
Title
Granger Causality: A Review and Recent Advances
Granger Causality: A Review and Recent Advances
Ali Shojaie
E. Fox
CMLAI4TS
73
270
0
05 May 2021
Higher-Order Spectral Clustering of Directed Graphs
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen
He Sun
43
23
0
10 Nov 2020
Spectral Ranking with Covariates
Spectral Ranking with Covariates
Siu Lun Chau
Ning Zhang
Dino Sejdinovic
43
9
0
08 May 2020
Motif-Based Spectral Clustering of Weighted Directed Networks
Motif-Based Spectral Clustering of Weighted Directed Networks
W. Underwood
Andrew Elliott
Mihai Cucuringu
46
12
0
02 Apr 2020
Hermitian matrices for clustering directed graphs: insights and
  applications
Hermitian matrices for clustering directed graphs: insights and applications
Ning Zhang
Huan Li
He Sun
Luca Zanetti
55
49
0
06 Aug 2019
Ranking and synchronization from pairwise measurements via SVD
Ranking and synchronization from pairwise measurements via SVD
Alexandre d’Aspremont
Ning Zhang
Hemant Tyagi
48
22
0
06 Jun 2019
A physical model for efficient ranking in networks
A physical model for efficient ranking in networks
Caterina De Bacco
D. Larremore
Cristopher Moore
120
75
0
03 Sep 2017
The Impact of Random Models on Clustering Similarity
The Impact of Random Models on Clustering Similarity
Alexander J. Gates
Yong-Yeol Ahn
61
126
0
23 Jan 2017
Exploring and measuring non-linear correlations: Copulas, Lightspeed
  Transportation and Clustering
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering
Gautier Marti
Sébastien Andler
Frank Nielsen
Philippe Donnat
55
8
0
30 Oct 2016
A Primer on the Signature Method in Machine Learning
A Primer on the Signature Method in Machine Learning
I. Chevyrev
Andrey Kormilitzin
495
216
0
11 Mar 2016
Spectral Ranking using Seriation
Spectral Ranking using Seriation
Fajwel Fogel
Alexandre d’Aspremont
Milan Vojnović
139
22
0
20 Jun 2014
Quantifying causal influences
Quantifying causal influences
Dominik Janzing
David Balduzzi
Moritz Grosse-Wentrup
Bernhard Schölkopf
CML
89
219
0
29 Mar 2012
A consistent adjacency spectral embedding for stochastic blockmodel
  graphs
A consistent adjacency spectral embedding for stochastic blockmodel graphs
D. Sussman
M. Tang
D. E. Fishkind
Carey E. Priebe
166
294
0
10 Aug 2011
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
277
2,599
0
28 Mar 2008
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