Canadian Journal of Statistics

Likelihood inference in complex settings

Journal Article

Abstract

Inference based on the likelihood function owes much to theory developed some decades ago. What is the current role of likelihood in developing strategies for the analysis of very large data sets, often with very high dimension, and complex dependencies? This paper considers some aspects of this question with emphasis on problems in stochastic modelling, estimating equations, and survey methodology. The Canadian Journal of Statistics 40: 731–744; 2012 © 2012 Statistical Society of Canada

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