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Invariant Causal Prediction for Sequential Data
Niklas Pfister
*
, Peter Bühlmann,
Jonas Peters
*
Corresponding author for this work
Department of Mathematical Sciences
8
Citations (Scopus)
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Dive into the research topics of 'Invariant Causal Prediction for Sequential Data'. Together they form a unique fingerprint.
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Mathematics
Predictors
86%
Prediction
75%
Invariant
52%
Monetary Policy
35%
Granger Causality
28%
Macroeconomics
25%
Confidence Bounds
24%
Least Squares Regression
22%
Ordinary Least Squares
21%
Instantaneous
20%
Conditional Distribution
19%
Time series
16%
Linear Time
16%
Invariance
16%
Knowledge
14%
Methodology
13%
Observation
12%
Model
6%
Business & Economics
Predictors
100%
Prediction
76%
Monetary Policy
26%
Conditional Distribution
22%
Invariance
21%
Granger Causality
19%
Ordinary Least Squares
17%
Confidence
15%
Macroeconomics
14%
Methodology
9%