Results 101 to 110 of about 331,548 (294)
Sparse Probit Linear Mixed Model
, 2017 Linear Mixed Models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic traits that best predict a continuous phenotype of interest, while simultaneously correcting for various ...
Cunningham, John P. +5 more
core +1 more source
Agricultural and Food Economics, 2019 Smallholder farmers are excluded from efficient and effective participation in high-value agro-food market chains due to major competitiveness constraints and several market failures along these chains.
E. Ngenoh +4 more
semanticscholar +1 more source
Polarization over the priority of political problems
American Journal of Political Science, EarlyView.Abstract What drives ideological division about political problems? When prioritizing which problems are most in need of redress, voters might disagree about the severity of individual outcomes that constitute such problems; the prevalence of those problems; or whether such problems are amenable to solution by government action. We field a large survey
Benjamin E. Lauderdale, Jack Blumenau
wiley +1 more source
mvord: An R Package for Fitting Multivariate Ordinal Regression Models
Journal of Statistical Software, 2020 The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link.
Rainer Hirk, Kurt Hornik, Laura Vana
doaj +1 more source
A Bayesian Model of Sample Selection with a Discrete Outcome Variable [PDF]
Relatively few published studies apply Heckman’s (1979) sample selection model to the case of a discrete endogenous variable and those are limited to a single outcome equation.
Maksym, Obrizan
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Conjugate Bayes for probit regression via unified skew-normal distributions
, 2019 Regression models for dichotomous data are ubiquitous in statistics. Besides being useful for inference on binary responses, these methods serve also as building blocks in more complex formulations, such as density regression, nonparametric ...
Durante, Daniele
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Annals of Public and Cooperative Economics, EarlyView.Abstract An extensive literature demonstrates a positive relationship between social capital and health. However, empirical analyses within the Italian context remain limited. This study contributes to the existing literature by expanding the empirical evidence on this topic for Italy, employing an ecological approach.
Maria Alessandra Antonelli +1 more
wiley +1 more source
A User-Friendly Introduction to Link-Probit-Normal Models [PDF]
, 2005 Probit-normal models have attractive properties compared to logit-normal models. In particular, they allow for easy specification of marginal links of interest while permitting a conditional random effects structure.
Caffo, Brian S., Griswold, Michael
core +2 more sources
From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics [PDF]
Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis.
John Mullahy
core