Exploratory Causal Analysis (ECA) Algorithm
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An Exploratory Causal Analysis (ECA) Algorithm is a Causal Analysis that ...
- See: Data Analysis, Causal Analysis, Experimental Design, Statistics, Algorithms, Causal Inference, Causal Model, Average Treatment Effect, Randomized Controlled Trials, Exploratory Research, Causal Research, Exploratory Data Analysis.
References
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Exploratory_causal_analysis Retrieved:2021-9-24.
- Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Exploratory causal analysis (ECA), also known as data causality or causal discovery[1] is the use of statistical algorithms to infer associations in observed data sets that are potentially causal under strict assumptions. ECA is a type of causal inference distinct from causal modeling and treatment effects in randomized controlled trials.[2] It is exploratory research usually preceding more formal causal research in the same way exploratory data analysis often precedes statistical hypothesis testing in data analysis[3]