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2002.00208
Cited By

Variable-lag Granger Causality and Transfer Entropy for Time Series
Analysis

v1v2v3 (latest)

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis

ACM Transactions on Knowledge Discovery from Data (TKDD), 2020

1 February 2020

Chainarong Amornbunchornvej

ArXiv (abs)PDF HTML

Papers citing "Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis"

10 / 10 papers shown

Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains

Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains

Rajiv Krishnamurthy

131

0

0

03 Oct 2025

MotifDisco: Motif Causal Discovery For Time Series Motifs

MotifDisco: Motif Causal Discovery For Time Series Motifs

Christopher Hannemann

Joost van der Linden

368

0

0

23 Sep 2024

Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis

Naaek Chinpattanakarn

Chainarong Amornbunchornvej

188

2

0

05 Jan 2024

Causal Feature Selection via Transfer Entropy

Causal Feature Selection via Transfer EntropyIEEE International Joint Conference on Neural Network (IJCNN), 2023

Alberto Maria Metelli

Marcello Restelli

202

10

0

17 Oct 2023

CTP:A Causal Interpretable Model for Non-Communicable Disease
Progression Prediction

CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction

Zhengxing Huang

293

2

0

18 Aug 2023

Identifying Time Lag in Dynamical Systems with Copula Entropy based
Transfer Entropy

Identifying Time Lag in Dynamical Systems with Copula Entropy based Transfer Entropy

132

2

0

15 Jan 2023

Framework for inferring empirical causal graphs from binary data to
support multidimensional poverty analysis

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis

Chainarong Amornbunchornvej

Navaporn Surasvadi

Anon Plangprasopchok

S. Thajchayapong

255

6

0

12 May 2022

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series
Forecasting

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

Zongjiang Shang

188

136

0

13 Jan 2022

An Empirical Study: Extensive Deep Temporal Point Process

An Empirical Study: Extensive Deep Temporal Point Process

Cheng Tan

Lirong Wu

Stan. Z. Li

284

14

0

19 Oct 2021

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable
Decomposition

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

321

44

0

13 Jul 2021