Statistical inference from a Dempster–Shafer perspective

What follows is a sketch of my 2013 viewpoint on how statistical inference should be viewed by applied statisticians. The label DS is an acronym for “Dempster-Shafer” after the originators of the technical foundation of the theory. Our foundation remains essentially unchanged since the 1960s and 197...

Full description

Saved in:
Bibliographic Details
Published inPast, Present, and Future of Statistical Science pp. 291 - 304
Format Book Chapter
LanguageEnglish
Published Chapman and Hall/CRC 2014
Subjects
Sampling Models
Multi-way Array
Inclined
DS Framework
Personal Probabilities
Ordinary Calculus
Probabilistic Uncertainty
Generalize Likelihood Functions
Extended Calculus
SSS
Likelihood Functions
Mass Distribution
Cumulative Distribution Functions
Probabilistic Interval
Complete Random Sample
Statistical Inference
Bayesian Model
Smooth
DS Model
Long Run Averages
Natural Language Meaning
Keynes
Posterior Distributions
Holds
Online AccessGet full text
DOI10.1201/b16720-31

Cover

More Information
Summary:What follows is a sketch of my 2013 viewpoint on how statistical inference should be viewed by applied statisticians. The label DS is an acronym for “Dempster-Shafer” after the originators of the technical foundation of the theory. Our foundation remains essentially unchanged since the 1960s and 1970s when I and then Glenn Shafer were its initial expositors.
DOI:10.1201/b16720-31