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Causal inference as a blind spot of data scientists | Science & technology experiments

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Throughout much of the 20th century, frequentist statistics dominated the field of statistics and scientific research. Frequentist statistics primarily focus on the analysis of data in terms of probabilities and observed frequencies. Causal inference, on the other hand, involves making inferences about cause-and-effect relationships, which often goes beyond the scope of traditional frequentist statistical methods.

by Dzidas Martinaitis 2023-10-15 Categories ml Enjoyed the post? Subscribe! Throughout much of the 20th century, frequentist statistics dominated the field of statistics and scientific research. Frequentist statistics primarily focus on the analysis of data in terms of probabilities and observed frequencies. Causal inference, on the other hand, involves making inferences about cause-and-effect relationships, which often goes beyond the scope of traditional frequentist statistical methods. Causal inference has a long history, but it gained more prominent attention in the latter half of the 20th

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