Interactive data analysis with statistical guarantees

Abstract

Major Goals: This project considered the problem of inference (with frequentist guarantees) when statisticalmodels are not specified before data collection. We termed this type of data analysis "inferactive data analysis".Two of the main goals of this project involved working out a framework for inference, the second beingdevelopment of software usable in this context. In terms of the framework, questions include: under what kind ofexploratory regimes is it possible to do inference; what are the appropriate corrections to the likelihood? Forcomputations we considered specific randomization mechanisms that allowed tractable inference algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Feb 05, 2019
Accession Number
AD1083900

Entities

People

  • Jonathan E. Taylor

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Inference
  • Data Analysis
  • Data Science
  • Guarantees
  • Information Operations
  • Information Science
  • Mathematics
  • Military Research
  • Probability
  • Specifications
  • Standards
  • Statistical Algorithms
  • Statistics

Fields of Study

  • Computer science

Readers

  • Regression Analysis.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference