Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

21 February 2020

Papers citing "Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values"

9 / 9 papers shown

Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 52 0 0 21 Mar 2025
CausalMMM: Learning Causal Structure for Marketing Mix Modeling Chang Gong Di Yao Lei Zhang Sheng Chen Wenbin Li Yueyang Su Jingping Bi 34 4 0 24 Jun 2024
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander G. Reisach Myriam Tami C. Seiler Antoine Chambaz S. Weichwald CML 36 19 0 31 Mar 2023
Causal Discovery from Sparse Time-Series Data Using Echo State Network Haonan Chen B. Chang Mohamed A. Naiel1 Georges Younes Steven Wardell Stan Kleinikkink J. S. Z. U. O. Waterloo CML BDL AI4TS 22 1 0 09 Jan 2022
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 23 47 0 15 Jun 2021
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data A. Lawrence Marcus Kaiser Rui Sampaio Maksim Sipos CML AI4TS 19 17 0 16 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 15 136 0 26 Feb 2021
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 74 101 0 09 Aug 2014