Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

7 March 2020

Papers citing "Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets"

23 / 73 papers shown

Title
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 29 11 0 20 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 44 3 0 07 Feb 2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization Dongjie Wang Zhengzhang Chen Jingchao Ni Liang Tong Zheng Wang Yanjie Fu Haifeng Chen AI4CE 13 17 0 03 Feb 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 34 1 0 28 Jan 2023
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics D. Arvind S. Maiya 24 1 0 16 Jan 2023
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 26 25 0 26 Oct 2022
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies Minh Le Nguyen G. Ngo M. Sabuncu CML 14 2 0 13 Oct 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 23 0 0 12 Sep 2022
Causal discovery for time series with latent confounders Christian Reiser BDL CML AI4TS 19 3 0 07 Sep 2022
Multiscale Causal Structure Learning Gabriele DÁcunto P. Lorenzo Sergio Barbarossa 56 4 0 16 Jul 2022
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 30 4 0 08 Jul 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 34 2 0 10 Jun 2022
Inferring extended summary causal graphs from observational time series Charles K. Assaad Emilie Devijver Éric Gaussier CML AI4TS 4 0 0 19 May 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 28 20 0 04 Apr 2022
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Siyuan Guo V. Tóth Bernhard Schölkopf Ferenc Huszár CML 25 35 0 29 Mar 2022
Path Signature Area-Based Causal Discovery in Coupled Time Series William E. Glad T. Woolf CML 24 3 0 23 Oct 2021
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge Xiangyuan Sun Oliver Schulte Guiliang Liu Pascal Poupart CML BDL 54 18 0 09 Sep 2021
Interactive Causal Structure Discovery in Earth System Sciences Laila Melkas Rafael Savvides Suyog H. Chandramouli J. Mäkelä T. Nieminen I. Mammarella Kai Puolamäki CML 29 6 0 01 Jul 2021
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data A. Lawrence Marcus Kaiser Rui Sampaio Maksim Sipos CML AI4TS 40 18 0 16 Apr 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 82 104 0 11 Feb 2021
High-recall causal discovery for autocorrelated time series with latent confounders Andreas Gerhardus J. Runge CML AI4TS 6 98 0 03 Jul 2020
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 228 628 0 20 Feb 2013
Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer Entropy Jakob Runge J. Heitzig N. Marwan J. Kurths 58 131 0 09 Oct 2012