| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7548043 | Statistics & Probability Letters | 2018 | 5 Pages | 
Abstract
												An iterative algorithm has been conjectured to converge to the nonparametric MLE of the mixing distribution. We give a rigorous proof of this conjecture and discuss the use of this algorithm for producing smooth mixing densities as near-MLEs.
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Statistics and Probability
												
											Authors
												Minwoo Chae, Ryan Martin, Stephen G. Walker, 
											