Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 63, No. 2 (2001), pp. 243-259 (17 pages) The analysis of a sample of curves can be done by self-modelling regression ...
Lecture Notes-Monograph Series, Vol. 37, Selected Proceedings of the Symposium on Inference for Stochastic Processes (2001), pp. 281-295 (15 pages) The use of the pseudo-likelihood estimator for Gibbs ...
Relatedness between individuals is central to ecological genetics. Multiple methods are available to quantify relatedness from molecular data, including method-of-moment and maximum-likelihood ...
Severity parameters play a crucial role in the operational risk (OpRisk) capital estimates for Advanced Measurement Approach banks. When relying on maximum likelihood estimates (MLEs), nonrobustness ...
Maximum likelihood estimation of the parameters of a statistical model involves maximizing the likelihood or, equivalently, the log likelihood with respect to the parameters. The parameter values at ...
Mixed model analyses via restricted maximum likelihood, fitting the so-called animal model, have become standard methodology for the estimation of genetic variances. Models involving multiple genetic ...
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