Pairwise likelihood inference for the random effects probit model
From MaRDI portal
Publication:1643013
DOI10.1007/s00180-017-0757-8zbMath1417.62143OpenAlexW2741401270MaRDI QIDQ1643013
Publication date: 18 June 2018
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-017-0757-8
Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Point estimation (62F10)
Cites Work
- A pairwise likelihood approach to estimation in multilevel probit models
- Formulation and estimation of stochastic frontier production function models
- A numerically stable quadrature procedure for the one-factor random-component discrete choice model
- A pairwise likelihood approach to analyzing correlated binary data
- A note on pseudolikelihood constructed from marginal densities
- Pairwise Likelihood Inference for General State Space Models
- Maximum likelihood estimation using composite likelihoods for closed exponential families
- A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
- A Composite Likelihood Approach to Binary Spatial Data
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Pairwise likelihood inference for the random effects probit model