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Causal filter

Known as: Anti-causal filter, Anticausal filter 
In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Network topology inference is a significant problem in network science. Most graph signal processing (GSP) efforts to date assume… Expand
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Review
2019
Review
2019
Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal… Expand
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Review
2018
Review
2018
Abstract Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in… Expand
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Review
2017
Review
2017
Inferring causal effects of treatments is a central goal in many disciplines. The potential outcomes framework is a main… Expand
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Highly Cited
2001
Highly Cited
2001
There occurs on some occasions a difficulty in deciding the direction of causality between two related variables and also whether… Expand
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Highly Cited
2000
Highly Cited
2000
Contents: Part I: Introduction. Structural Equation Models: The Basics. Using the EQS Program. Part II: Single-Group Analyses… Expand
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Highly Cited
1993
Highly Cited
1993
  • R. Yin
  • 1993
  • Corpus ID: 107007989
Theory The Role of Theory in Doing Case Studies What is the Case Study Method? What is the Role of Theory in Doing Case Studies… Expand
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Highly Cited
1989
Highly Cited
1989
Given incomplete factor markets, appropriate time paths of flow variables must be chosen to build required stocks of assets. That… Expand
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Highly Cited
1974
Highly Cited
1974
A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented. The… Expand
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Highly Cited
1971
Highly Cited
1971
1. Theoretical Perspectives. 2. Origins of Behavior. 3. Antecedent Determinants. 4. Consequent Determinants. 5. Cognitive Control… Expand
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