The measurement and determinants of skill acquisition in young workers' first job [PDF]
The article analyses participation in five types of training (formal on-site, formal off-site, informal co-worker training, learning by watching and learning by doing) and self-assessed skill acquisition in young Flemish workers' first job.
Barron, J. +16 more
core +1 more source
Data Augmentation in the Bayesian Multivariate Probit Model [PDF]
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides an algorithm that obtains draws with low correlation much faster than a pure Gibbs sampling algorithm.
León-González, R.
core
Sensitivity analysis of the variable demand probit stochastic user equilibrium with multiple user classes [PDF]
This paper presents a formulation of the multiple user class, variable demand, probit stochastic user equilibrium model. Sufficient conditions are stated for differentiability of the equilibrium flows of this model.
Agachai Sumalee +39 more
core +1 more source
Sampling the Variance-Covariance Matrix in the Bayesian Multivariate Probit Model [PDF]
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides a method to sample the restricted variancecovariance matrix directly from its conditional posterior density.
Leon-Gonzalez, R.
core
Empirical and Simulated Adjustments of Composite Likelihood Ratio Statistics [PDF]
Composite likelihood inference has gained much popularity thanks to its computational manageability and its theoretical properties. Unfortunately, performing composite likelihood ratio tests is inconvenient because of their awkward asymptotic ...
Cattelan, Manuela, Sartori, Nicola
core +4 more sources
On the estimation of normal copula discrete regression models using the continuous extension and simulated likelihood [PDF]
The continuous extension of a discrete random variable is amongst the computational methods used for estimation of multivariate normal copula-based models with discrete margins.
Aristidis K. Nikoloulopoulos +36 more
core +2 more sources
On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression [PDF]
In logistic regression, separation occurs when a linear combination of the predictors can perfectly classify part or all of the observations in the sample, and as a result, finite maximum likelihood estimates of the regression coefficients do not exist ...
Ghosh, Joyee, Li, Yingbo, Mitra, Robin
core +3 more sources
`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component. [PDF]
Endogeneity bias arises in contingent valuation studies when the error term in the willingness to pay (WTP) equation is correlated with explanatory variables because observable and unobservable characteristics of the respondents affect both their WTP ...
Lyssenko, Nikita +1 more
core
Data Augmentation in the Bayesian Multivariate Probit Model [PDF]
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides an algorithm that obtains draws with low correlation much faster than a pure Gibbs sampling algorithm.
Roberto Leon Gonzalez
core +1 more source
Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]
It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Girolami, M., Rogers, S.
core +4 more sources

