Mendelian randomization using semiparametric linear transformation models.
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DOI: 10.1002/sim.8449
Abstract: Mendelian randomization (MR) uses genetic information as an instrumental variable (IV) to estimate the causal effect of an exposure of interest on an outcome in the presence of unknown confounding. We are interested in the… read more here.
Keywords: using semiparametric; semiparametric linear; linear transformation; mendelian randomization ... See more keywords
Classification using semiparametric mixtures
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DOI: 10.1080/02664763.2019.1579306
Abstract: ABSTRACT A new density-based classification method that uses semiparametric mixtures is proposed. Like other density-based classifiers, it first estimates the probability density function for the observations in each class, with a semiparametric mixture, and then… read more here.
Keywords: using semiparametric; classification; semiparametric mixtures; density ... See more keywords
Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance
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DOI: 10.3390/sym14102194
Abstract: Additional information and borrowing strength from the related sites and other sources will improve estimation in small areas. Generalized linear mixed-effects models (GLMMs) have been frequently used in small area estimation; however, the relationship between… read more here.
Keywords: area estimation; insurance; using semiparametric; small area ... See more keywords