Pages that link to "Item:Q1951164"
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The following pages link to A penalized likelihood estimation approach to semiparametric sample selection binary response modeling (Q1951164):
Displaying 13 items.
- Estimation of a regression spline sample selection model (Q333716) (← links)
- Semi-parametric bivariate polychotomous ordinal regression (Q517413) (← links)
- On the estimation of a binary response model in a selected population (Q550118) (← links)
- Semi-parametric copula sample selection models for count responses (Q1658729) (← links)
- Copula based generalized additive models for location, scale and shape with non-random sample selection (Q1663102) (← links)
- A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) (Q1697000) (← links)
- A penalized likelihood estimation approach to semiparametric sample selection binary response modeling (Q1951164) (← links)
- Correcting for sample selection bias in Bayesian distributional regression models (Q2076142) (← links)
- Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models (Q2259749) (← links)
- On \(p\)-values for semiparametric bivariate probit models (Q2360906) (← links)
- Multivariate effect priors in bivariate semiparametric recursive Gaussian models (Q2416770) (← links)
- Using penalized likelihood to select parameters in a random coefficients multinomial logit model (Q2658770) (← links)
- Using the Penalized Likelihood Method for Model Selection with Nuisance Parameters Present only under the Alternative: An Application to Switching Regression Models (Q5467624) (← links)