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Should Legal Empiricists Go Bayesian?
by
Strnad, Jeff
in
Approximation
/ Bias
/ Criminal law
/ Economic models
/ Economics
/ Hypotheses
/ Law schools
/ Legal medicine
/ Mathematics
/ Modeling
/ Null hypothesis
/ P values
/ Prior convictions
/ Probabilities
/ Probability distribution
/ Property crimes
/ Regression coefficients
/ State laws
2007
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Should Legal Empiricists Go Bayesian?
by
Strnad, Jeff
in
Approximation
/ Bias
/ Criminal law
/ Economic models
/ Economics
/ Hypotheses
/ Law schools
/ Legal medicine
/ Mathematics
/ Modeling
/ Null hypothesis
/ P values
/ Prior convictions
/ Probabilities
/ Probability distribution
/ Property crimes
/ Regression coefficients
/ State laws
2007
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Should Legal Empiricists Go Bayesian?
by
Strnad, Jeff
in
Approximation
/ Bias
/ Criminal law
/ Economic models
/ Economics
/ Hypotheses
/ Law schools
/ Legal medicine
/ Mathematics
/ Modeling
/ Null hypothesis
/ P values
/ Prior convictions
/ Probabilities
/ Probability distribution
/ Property crimes
/ Regression coefficients
/ State laws
2007
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Journal Article
Should Legal Empiricists Go Bayesian?
2007
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Overview
Bayesian empirical approaches appear frequently in fields such as engineering, computer science, political science and medicine, but almost never in law. This article illustrates how such approaches might be very useful in empirical legal studies. In particular, Bayesian approaches enable a much more natural connection between the normative or positive issues that typically motivate such studies and the empirical results.
Publisher
Oxford University Press,Oxford Publishing Limited (England)
Subject
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