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Philosophy of Statistics
Dov Gabbay
, Paul Thagard
, John Woods
, S. Bandyopadhyay Prasanta
, R. Forster Malcolm
King's College London
University of Waterloo
University of British Columbia
University of Wisconsin-Madison
Research output
:
Book/Report
›
Book
›
peer-review
33
Scopus citations
Overview
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Dive into the research topics of 'Philosophy of Statistics'. Together they form a unique fingerprint.
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Keyphrases
Ancient India
50%
Application of Statistics
50%
Bayesian Probability
50%
Causal Inference
50%
Climate Change
50%
Comprehensive State
50%
Computer Science
50%
Conditional Probability
50%
Data Mining Applications
50%
Economic Ecology
50%
Electrical Engineering
50%
Elementary Probability
50%
Elementary Statistics
50%
Engineering Science
50%
Epidemiology
50%
Geoscience
50%
Historical Issues
50%
Inductive Inference
50%
Likelihood Principle
50%
Mathematical Foundations
50%
Model Selection Criteria
50%
Normal Approximation
50%
Philosophy of Statistics
100%
Problem of Induction
50%
Recent Advances
50%
Statistical Inference
50%
Statistical Learning Theory
50%
Statistical Paradigms
50%
Statistical Paradoxes
50%
Stein Phenomenon
50%
Technical Background
50%
Social Sciences
Ancient India
100%
Climate Change
100%
Computer Science
100%
Data Mining
100%
Economics
100%
Guides
100%
Learning Theory
100%
Statistical Inference
100%
Mathematics
Bayesian
16%
Causal Inference
16%
Computer Mathematics
16%
Conditional Probability
16%
Data Mining
16%
Inductive Inference
16%
Inferential Statistics
16%
Likelihood Principle
16%
Model Selection Criterion
16%
Normal Approximation
16%
Probabilistic Paradox
16%
Probability Theory
33%
Statistical Paradox
16%
Statistics
100%
Psychology
Causal Inference
100%
Model Selection
100%