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作者：Tardella, L
作者单位：Sapienza University Rome
摘要：The intrinsic heterogeneity of individuals is a potential source of bias in estimation procedures for capture-recapture models. To account for this heterogeneity in the model a hierarchical structure has been proposed whereby the probabilities that each animal is caught on a single occasion are modelled as independent draws from a common unknown distribution F. However, there is general agreement that modelling F by a simple parametric curve may lead to unsatisfactory results. Here we propose ...
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作者：Nott, DJ; Dunsmuir, WTM
作者单位：University of New South Wales Sydney
摘要：We introduce a method for estimating nonstationary spatial covariance structure from space-time data and apply the method to an analysis of Sydney wind patterns. Our method constructs a process honouring a given spatial covariance matrix at observing stations and uses one or more stationary processes to describe conditional behaviour given observing site values. The stationary processes give a localised description of the spatial covariance structure. The method is computationally attractive, ...
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作者：Oakley, J; O'Hagan, A
作者单位：University of Sheffield
摘要：We consider a problem of inference for the output of a computationally expensive computer model. We suppose that the model is to be used in a context where the values of one or more inputs are uncertain, so that the input configuration is a random variable. We require to make inference about the induced distribution of the output. This distribution is called the uncertainty distribution, and the general problem is known to users of computer models as uncertainty analysis. To be specific, we de...
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作者：King, R; Brooks, SP
作者单位：University of Cambridge
摘要：Extending the work of Dupuis (1995), we motivate a range of biologically plausible models for multiple-site capture-recapture and show how the original Gibbs sampling algorithm of Dupuis can be extended to obtain posterior model probabilities using reversible jump Markov chain Monte Carlo. This model selection procedure improves upon previous analyses in two distinct ways. First, Bayesian model averaging provides a robust parameter estimation technique which properly incorporates model uncerta...
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作者：Severini, TA; Mukerjee, R; Ghosh, M
作者单位：Northwestern University; Indian Institute of Management (IIM System); Indian Institute of Management Calcutta; State University System of Florida; University of Florida
摘要：The paper considers priors which are right invariant with respect to the Haar measure. It is shown that the posterior coverage probabilities of certain invariant Bayesian predictive regions exactly match the corresponding frequentist probabilities. Several examples are given to illustrate the main result.
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作者：Larsen, PV; Blæsild, P; Sorensen, MK
作者单位：University of Southern Denmark; Aarhus University
摘要：Explicit expressions for the directed likelihood statistic, r, and two modified directed likelihood statistics, r* and r(dagger), are given for several standard hypotheses on concentrations in von Mises-Fisher distributions, and for several standard hypotheses on mean directions in von Mises distributions.
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作者：Hettmansperger, TP; Randles, RH
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; State University System of Florida; University of Florida
摘要：A robust affine equivariant estimator of location for multivariate data is proposed which becomes the univariate median for data of dimension one. The estimator is robust in the sense that it has a bounded influence function, a positive breakdown value and has high efficiency compared to the sample mean for heavy-tailed distributions. Perhaps its greatest strength is that, unlike other affine equivariant multivariate medians, it is easily computed for data in any practical dimension.
