An overview of composite likelihood methods
A survey of recent developments in the theory and application of composite likelihood is
provided, building on the review paper of Varin (2008). A range of application areas …
provided, building on the review paper of Varin (2008). A range of application areas …
[图书][B] Handbook of item response theory
WJ Van der Linden, RK Hambleton - 2015 - api.taylorfrancis.com
Item response theory (IRT) has its origins in pioneering work by Louis Thurstone in the
1920s, a handful of authors such as Lawley, Mosier, and Richardson in the 1940s, and more …
1920s, a handful of authors such as Lawley, Mosier, and Richardson in the 1940s, and more …
On composite marginal likelihoods
C Varin - Asta advances in statistical analysis, 2008 - Springer
Composite marginal likelihoods are pseudolikelihoods constructed by compounding
marginal densities. In several applications, they are convenient surrogates for the ordinary …
marginal densities. In several applications, they are convenient surrogates for the ordinary …
Dyadic regression
BS Graham - The econometric analysis of network data, 2020 - Elsevier
Dyadic data, where outcomes reflecting pairwise interaction among sampled units are of
primary interest, arise frequently in social science research. Regression analyses with such …
primary interest, arise frequently in social science research. Regression analyses with such …
Double hierarchical generalized linear models (with discussion)
Y Lee, JA Nelder - Journal of the Royal Statistical Society Series …, 2006 - academic.oup.com
We propose a class of double hierarchical generalized linear models in which random
effects can be specified for both the mean and dispersion. Heteroscedasticity between …
effects can be specified for both the mean and dispersion. Heteroscedasticity between …
Network data
BS Graham - Handbook of econometrics, 2020 - Elsevier
Many economic activities are embedded in networks: sets of agents and the (often) rivalrous
relationships connecting them to one another. Input sourcing by firms, interbank lending …
relationships connecting them to one another. Input sourcing by firms, interbank lending …
The SAGE handbook of multilevel modeling
MA Scott, BD Marx, JS Simonoff - 2013 - torrossa.com
The SAGE handbook of multilevel modeling The SAGE Handbook of Multilevel Modeling
Edited by Marc A. Scott, Jeffrey S. Simonoff and Brian D. Marx The SA GE Handbook of …
Edited by Marc A. Scott, Jeffrey S. Simonoff and Brian D. Marx The SA GE Handbook of …
A flexible spatially dependent discrete choice model: formulation and application to teenagers' weekday recreational activity participation
This study proposes a simple and practical Composite Marginal Likelihood (CML) inference
approach to estimate ordered-response discrete choice models with flexible copula-based …
approach to estimate ordered-response discrete choice models with flexible copula-based …
A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response …
This chapter compares the performance of the maximum simulated likelihood (MSL)
approach with the composite marginal likelihood (CML) approach in multivariate ordered …
approach with the composite marginal likelihood (CML) approach in multivariate ordered …
Alternating imputation posterior estimation of models with crossed random effects
SJ Cho, S Rabe-Hesketh - Computational Statistics & Data Analysis, 2011 - Elsevier
Generalized linear mixed models or latent variable models for categorical data are difficult to
estimate if the random effects or latent variables vary at non-nested levels, such as persons …
estimate if the random effects or latent variables vary at non-nested levels, such as persons …