| Composite Likelihood Methods |
| |
Introduction to Special Issue
Nancy Reid, Bruce Lindsay and Kung-Yee Liang |
1 |
| |
An overview of composite likelihood methods
Cristiano Varin, Nancy Reid and David Firth |
5 |
| |
On composite likelihoods in statistical genetics
F. Larribe and P. Fearnhead |
43 |
| |
Issues and strategies in the selection of composite likelihoods
Bruce G. Lindsay, Grace Y. Yi and Jianping Sun |
71 |
| |
Maximum local partial likelihood estimators for the counting process
intensity function and its derivatives
Feng Chen |
107 |
| |
Adjusting composite likelihood ratio statistics
Luigi Pace, Alessandra Salvan and Nicola Sartori |
129 |
| |
Bayesian composite marginal likelihoods
Francesco Pauli, Walter Racugno and Laura Ventura |
149 |
| |
Composite likelihood EM algorithm with applications to multivariate
hidden Markov model
Xin Gao and Peter X.-K. Song |
165 |
| |
Pseudo-likelihood estimation for incomplete data
Geert Molenberghs, Michael G. Kenward, Geert Verbeke and
Teshome Birhanu |
187 |
| |
A pairwise likelihood method for correlated binary data with/without
missing observations under generalized partially linear single-index
models
Wenqing He and Grace Y. Yi |
207 |
| |
An EM composite likelihood approach for multistage sampling of family
data
Y. Choi and L. Briollais |
231 |
| |
Comments on pairwise likelihood in time series models
Richard A. Davis and Chun Yip Yau |
255 |
| |
Composite likelihood for time series models with a latent autoregressive
process
Chi Tim Ng, Harry Joe, Dimitris Karlis and Juxin Liu |
279 |
| |
Nuisance parameters, composite likelihoods and a panel of GARCH
models
Cavit Pakel, Neil Shephard and Kevin Sheppard |
307 |
| |
Extending pseudo-likelihood for Potts models
Saisuke Okabayashi, Leif Johnson and Charles J. Geyer |
331 |
General |
| |
Semi-parametric inference for copula models for truncated data
Takeshi Emura, Weijing Wang and Hui-Nien Hung |
349 |
| |
Theory of Gaussian variational approximation for a Poisson mixed model
Peter Hall, J. T. Ormerod and M. P. Wand |
369 |
| |
Nonconcave penalized M-estimation with a diverging number of
parameters
Gaorong Li, Heng Peng and Lixing Zhu |
391 |
| |
Optimality criteria for multiresponse linear models based on predictive
ellipsoids
Xin Liu, Rong-Xian Yue and Fred J. Hickernell |
421 |
| |
Frequency properties of inferences based on an integrated likelihood
function
Thomas A. Severini |
433 |
| |
Empirical Bayesian thresholding for sparse signals using mixture loss
functions
Vikas C. Raykar and Linda H. Zhao |
449 |