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An information theoretic approach to ecological estimation and inference
George G. Judge
, Douglas J. Miller
, Wendy K.Tam Cho
Political Science
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Keyphrases
Information Theory
100%
Ill-posed Inverse Problem
100%
Precinct
100%
Ecological Inference
100%
Vote Counting
100%
Estimation Problem
50%
Political Scientists
50%
Recovery Problem
50%
Moment Approach
50%
Social Sciences
50%
Marginal Probability
50%
Inference Problem
50%
Conditional Probability
50%
Response Variable
50%
Voting Decision
50%
Solution Procedure
50%
Decision Process
50%
Demographic Categories
50%
Information Recovery
50%
Missing Probability
50%
Divergence Criterion
50%
Power Divergence
50%
Voter Behavior
50%
Aggregate Outcomes
50%
Macro Data
50%
District-level Data
50%
Moment Estimation
50%
Computer Science
Theoretic Approach
100%
Ecological Inference
100%
Inverse Problem
50%
Recovery Problem
50%
Conditional Probability
50%
Decision Process
50%
Political Scientist
50%
Voting Decision
50%
Solution Procedure
50%
Marginal Probability
50%
Voting Behavior
50%
Engineering
Illustrates
100%
Recovery Problem
100%
Conditional Probability
100%
Solution Procedure
100%
Decision Process
100%
District Level
100%
Mathematics
Probability Theory
100%
Theoretic Approach
100%
Conditionals
50%
Conditional Probability
50%
Decision Process
50%
Marginal Probability
50%
Economics, Econometrics and Finance
Voting Behavior
100%