Optimal model-free prediction from multivariate time series

18 June 2015

Papers citing "Optimal model-free prediction from multivariate time series"

6 / 6 papers shown

Title
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 80 0 0 11 Nov 2024
Projecting infinite time series graphs to finite marginal graphs using number theory Andreas Gerhardus Jonas Wahl Sofia Faltenbacher Urmi Ninad Jakob Runge AI4TS 25 3 0 09 Oct 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 51 75 0 21 May 2023
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery S. SaranyaGanesh Tom Beucler Frederick Iat-Hin Tam Milton S. Gomez Jakob Runge Andreas Gerhardus 18 4 0 11 Apr 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition Patricia Wollstadt Sebastian Schmitt Michael Wibral 28 28 0 10 May 2021
Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer Entropy Jakob Runge J. Heitzig N. Marwan J. Kurths 58 130 0 09 Oct 2012