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2203.06056
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Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
11 March 2022
Nikolaj Thams
Rikke Sondergaard
S. Weichwald
J. Peters
AI4TS
CML
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Papers citing
"Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past"
8 / 8 papers shown
Title
Using Time Structure to Estimate Causal Effects
Tom Hochsprung
Jakob Runge
Andreas Gerhardus
CML
87
0
0
15 Apr 2025
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
T. Le
Xudong Guo
Shichao Zhang
CML
136
0
0
26 Nov 2024
Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs
Silvana Tiedemann
Jorge Sanchez Canales
Felix Schur
Raffaele Sgarlato
Lion Hirth
Oliver Ruhnau
Jonas Peters
33
1
0
23 Sep 2024
DecoR: Deconfounding Time Series with Robust Regression
Felix Schur
Jonas Peters
CML
32
1
0
11 Jun 2024
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
Sahara Ali
Omar Faruque
Jianwu Wang
CML
62
1
0
13 May 2024
Projecting infinite time series graphs to finite marginal graphs using number theory
Andreas Gerhardus
Jonas Wahl
Sofia Faltenbacher
Urmi Ninad
Jakob Runge
AI4TS
56
3
0
09 Oct 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
Sahara Ali
Omar Faruque
Yiyi Huang
Md. Osman Gani
Aneesh Subramanian
Nicole-Jienne Shchlegel
Jianwu Wang
CML
97
3
0
22 Feb 2023
Instrumental Processes Using Integrated Covariances
Søren Wengel Mogensen
41
4
0
01 Nov 2022
1