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Identifying Causal Effects using Instrumental Time Series: Nuisance IV
  and Correcting for the Past

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
ArXivPDFHTML

Papers citing "Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past"

3 / 3 papers shown
Title
Using Time Structure to Estimate Causal Effects
Using Time Structure to Estimate Causal Effects
Tom Hochsprung
Jakob Runge
Andreas Gerhardus
CML
44
0
0
15 Apr 2025
Projecting infinite time series graphs to finite marginal graphs using
  number theory
Projecting infinite time series graphs to finite marginal graphs using number theory
Andreas Gerhardus
Jonas Wahl
Sofia Faltenbacher
Urmi Ninad
Jakob Runge
AI4TS
18
3
0
09 Oct 2023
Quantifying Causes of Arctic Amplification via Deep Learning based
  Time-series Causal Inference
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
38
3
0
22 Feb 2023
1