Theory of Statistical Inference

Statistical inference is about figuring out what data are telling us about the world. We gather data related to some question of interest and construct a model of how the data could have been generated. The model is incomplete, being formulated in terms of parameters whose values are unknown (or perhaps having some other unknown component). Knowing the values of these unknowns would tell us something useful about the world. The theory of statistical inference addresses how we can use data to make inferences about the values of the unknowns. Since models and data are central to this enterprise, we should start with some examples.

• Publication year

  2024

• Venue

  Journal of the American Statistical Association

• Publication date

  2024-01-08

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/01621459.2024.2314719
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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