| Lewis, Je#rey B. 1998. "Estimating Voter Preference Distributions from Individual-Level Voting Data (with application to split-ticket voting.)" Working Paper. |
....algorithm which under given regularity conditions increases the likelihood of its parameter estimates monotonically on every iteration. It is an integral part in the EMis multiple imputation algorithm presented in King et al. 1998) The EM algorithm has also seen use in political science by Lewis (1998), Bailey (1998) and Jackman (2000) Given the maximum posterior estimate of the parameters # = # ( #) one computes its variance V ( #) after reparameterizing to unbounded scales using the log for the standard deviations and the Fisher s z for the correlations. For small dimensions the ....
Lewis, Je#rey B. 1998. "Estimating Voter Preference Distributions from Individual-Level Voting Data (with application to split-ticket voting.)" Working Paper.
....algorithm which under given regularity conditions increases the likelihood of its parameter estimates monotonically on every iteration. It is an integral part in the EMis multiple imputation algorithm presented in King et al. 1998) The EM algorithm has also seen use in political science by Lewis (1998), Bailey (1998) and Jackman (2000) Given the maximum posterior estimate of the parameters = Sigma) one computes its variance V ( after reparameterizing to unbounded scales using the log for the standard deviations and the Fisher s z for the correlations. For small dimensions the ....
Lewis, Jeffrey B. 1998. "Estimating Voter Preference Distributions from Individual-Level Voting Data (with application to split-ticket voting.)" Working Paper.
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