most citedMonte Carlo likelihood inference for missing data models

27 citations · 27 across the 1 of their papers we have counts for

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1 paper

math.ST2007★ 27 cited

Monte Carlo likelihood inference for missing data models

Yun Ju Sung, Charles J. Geyer

We describe a Monte Carlo method to approximate the maximum likelihood estimate (MLE), when there are missing data and the observed data likelihood is not available in closed form.…