Weak Separation in Mixture Models and Implications for Principal Stratification / Avi Feller, Evan Greif and Nhat Ho.

Principal stratification is a widely used framework for addressing post-randomization complications. After using principal stratification to define causal effects of interest, researchers are increasingly turning to finite mixture models to estimate these quantities. Unfortunately, standard estimato...

Full description

Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Feller, Avi, Greif, Evan (Author), Ho, Nhat (Author), Miratrix, Luke (Author), Pillai, Natesh (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2019.
Subjects:	Statistical Analysis. Maximum Likelihood Statistics. Models. Statistical Distributions. Equations (Mathematics) Inferences.