Multiple robustness in factorized likelihood models

We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation-independent factors.We are interested in a finitedimensional parameter that depends on only one of the likelihood factors and whose estimation requires the auxi...

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Detalles Bibliográficos
Publicado:	2017
Materias:	Causal inference Estimating function Missing data Semiparametric model
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063444_v104_n3_p561_Molina http://hdl.handle.net/20.500.12110/paper_00063444_v104_n3_p561_Molina
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_00063444_v104_n3_p561_Molina
record_format	dspace
spelling	paper:paper_00063444_v104_n3_p561_Molina2023-06-08T14:31:11Z Multiple robustness in factorized likelihood models Causal inference Estimating function Missing data Semiparametric model We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation-independent factors.We are interested in a finitedimensional parameter that depends on only one of the likelihood factors and whose estimation requires the auxiliary estimation of one or several nuisance functions. We investigate general structures conducive to the construction of so-called multiply robust estimating functions, whose computation requires postulating several dimension-reducing models but which have mean zero at the true parameter value provided one of these models is correct. © 2017 Biometrika Trust. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063444_v104_n3_p561_Molina http://hdl.handle.net/20.500.12110/paper_00063444_v104_n3_p561_Molina
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Causal inference Estimating function Missing data Semiparametric model
spellingShingle	Causal inference Estimating function Missing data Semiparametric model Multiple robustness in factorized likelihood models
topic_facet	Causal inference Estimating function Missing data Semiparametric model
description	We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation-independent factors.We are interested in a finitedimensional parameter that depends on only one of the likelihood factors and whose estimation requires the auxiliary estimation of one or several nuisance functions. We investigate general structures conducive to the construction of so-called multiply robust estimating functions, whose computation requires postulating several dimension-reducing models but which have mean zero at the true parameter value provided one of these models is correct. © 2017 Biometrika Trust.
title	Multiple robustness in factorized likelihood models
title_short	Multiple robustness in factorized likelihood models
title_full	Multiple robustness in factorized likelihood models
title_fullStr	Multiple robustness in factorized likelihood models
title_full_unstemmed	Multiple robustness in factorized likelihood models
title_sort	multiple robustness in factorized likelihood models
publishDate	2017
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063444_v104_n3_p561_Molina http://hdl.handle.net/20.500.12110/paper_00063444_v104_n3_p561_Molina
_version_	1768542966629007360

Multiple robustness in factorized likelihood models

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