Brenda MacGibbon

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Cahiers du GERAD

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Top-tier customers -that is, those 20% of customers that typically bring in 80% of all profits- are extremely valuable to companies. In the many instances ...

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Using random effects in the modeling of homogeneous Poisson processes (HPP) has proved effective (Cook and Lawless (2007) and Gongjun et al. (2015)). We (Kh...

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Inferences about the prevalence of a given disease or condition can be drawn from results of a diagnostic test applied to a sample from the target population...

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In biomedical research there is a growing interest in the use of hierarchical Poisson regression models. Although sample size calculations for testing pa...

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Wavelets have been successfully used for nonparametric function estimation, but a major challenge in density and hazard estimation is that the function must ...

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Our main interest is the prediction of future events for recurrent event processes. We intend to build a Bayesian model, based on sound philosophical princip...

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Although sample size calculations for testing a parameter in the Poisson regression model have been previously done, very little attention has been given to ...

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In this study, we compare various computational approaches to Bayesian small area estimation of proportions in logistic regression models. The basic idea con...

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A challenge in many applications of non-parametric curve estimation is that the function must satisfy some (lower and/or upper) variable order constraints (f...

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One of the most important aspects of profiling health care providers or services is constructing a model that is flexible enough to allow for random variatio...

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Here we study hierarchical Bayesian estimation of a monotone hazard rate for both complete and randomly right censored data. We propose two methods of comp...

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We develop a nonparametric Bayesian functional estimation method, using monotone wavelet approximation, for hazard estimation from randomly right censored d...

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In this paper, we are concerned with the statistical methodology of epidemiological surveillance; that is, the ongoing procedure of analyzing and interpreti...

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The Cox proportional hazards model has become the model of choice to use in analyzing the effects of covariates on survival data. However, this assumption ha...

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In this paper, we study the quasi-likelihood estimator of the drift parameter <img src="/cgi-bin/mimetex.cgi?\theta"> in the Ornstein-Uhlenbeck diffusion pr...

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The authors study the application of the bootstrap to a class of estimators which converge at a nonstandard rate to a nonstandard asymptotic distribution. T...

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This paper discusses a Bayesian functional estimation method, based on Fourier series, for the estimation of the hazard rate from randomly right-censored dat...

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In this study, we present a unified Bayesian approach to small area estimation of mean parameters in generalized linear models. The basic idea consists of in...

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There is increased interest in rating types of hospitals or geographical regions containing hospitals on the basis of their performance in the provision of ...

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The problem of estimating a binomial proportion constrained to lie in an interval of the form [<i>a,b</i>] "not equal to" [0,1] is considered. The minimax ...

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