“Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999”

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“Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999” is a political science and statistics paper that introduces a Bayesian MCMC method for estimating time-varying ideological positions of U.S. Supreme Court justices, known as Martin-Quinn scores.

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Martin-Quinn scores → documentedIn → “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999” ⓘ