Pages that link to "Item:Q4439301"

The following pages link to Modelling sample selection using Archimedean copulas (Q4439301):

Displaying 44 items.

• Bivariate non-normality in the sample selection model (Q312350) (← links)
• Estimation of a regression spline sample selection model (Q333716) (← links)
• Dependent frequency-severity modeling of insurance claims (Q495514) (← links)
• Sample selection models for count data in R (Q722737) (← links)
• Bivariate copula decomposition in terms of comonotonicity, countermonotonicity and indepen\-dence (Q849598) (← links)
• Empirical likelihood based confidence intervals for copulas (Q958913) (← links)
• Construction of bivariate S-distributions with copulas (Q1010532) (← links)
• Multinomial choice models based on Archimedean copulas (Q1622078) (← 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)
• Bayesian estimation of a discrete response model with double rules of sample selection (Q1663332) (← links)
• Partial copula methods for models with multiple discrete endogenous explanatory variables and sample selection (Q1668283) (← links)
• Accounting for non-response bias using participation incentives and survey design: an application using gift vouchers (Q1788031) (← links)
• Jackknife empirical likelihood method for copulas (Q1944367) (← links)
• A penalized likelihood estimation approach to semiparametric sample selection binary response modeling (Q1951164) (← links)
• Sample selection models with monotone control functions (Q2074593) (← links)
• Correcting for sample selection bias in Bayesian distributional regression models (Q2076142) (← links)
• A new family of Archimedean copulas: the truncated-Poisson family of copulas (Q2089394) (← links)
• Regression for copula-linked compound distributions with applications in modeling aggregate insurance claims (Q2179972) (← links)
• Copula theory approach to stochastic geometric programming (Q2231327) (← links)
• A trivariate Gaussian copula stochastic frontier model with sample selection (Q2237545) (← links)
• Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models (Q2259749) (← links)
• Factors affecting economic output in developed countries: a copula approach to sample selection with panel data (Q2353921) (← links)
• A double-copula stochastic frontier model with dependent error components and correction for sample selection (Q2374518) (← links)
• A flexible parametric approach for estimating switching regime models and treatment effect parameters (Q2451788) (← links)
• Likelihood-based estimation in a panel setting: robustness, redundancy and validity of copulas (Q2630087) (← links)
• Vector copulas (Q2697978) (← links)
• A new bivariate Archimedean copula with application to the evaluation of VaR (Q2700544) (← links)
• Selecting the suitable copula function when only values of distribution functions are avaliable (Q2849156) (← links)
• Sampling a survival and conditional class of Archimedean processes (Q2862586) (← links)
• Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts* (Q3023040) (← links)
• (Q3183816) (← links)
• Stochastic frontier models with dependent error components (Q3499434) (← links)
• Copula Based Polychotomous Choice Selectivity Model: Application to Occupational Choice and Wage Determination of Older Workers (Q4558857) (← links)
• A semiparametric type II Tobit model for time-to-event data with application to a merger and acquisition study (Q5036579) (← links)
• A Goodness-of-fit Test for Copulas (Q5080467) (← links)
• Efficient semiparametric copula estimation of regression models with endogeneity (Q5095200) (← links)
• (Q5121463) (← links)
• (Q5121464) (← links)
• Managed Care and Health Care Utilization: Specification of Bivariate Models Using Copulas (Q5742654) (← links)
• Estimation of treatment effects in nonlinear models with unobserved confounding (Q6100426) (← links)
• A copula-based portrayal of the collider bias (Q6580647) (← links)
• Dealing With Endogeneity in Threshold Models Using Copulas (Q6617743) (← links)
• Multiple imputation of incomplete multilevel data using Heckman selection models (Q6630298) (← links)