Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC
نویسندگان
چکیده
منابع مشابه
Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC
Low detection limits are common in measure environmental variables. Building models using data containing low or high detection limits without adjusting for the censoring produces biased models. This paper offers approaches to estimate an inverse Gaussian distribution when some of the data used are censored because of low or high detection limits. Adjustments for the censoring can be made if th...
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Model comparison and selection are among the most common problems of statistical practice, with numerous procedures for choosing “the best” among a class models proposed in the literature (see Kadane and Lazar (2001) for a recent review). However, comparing and selecting among richly parameterized Bayesian hierarchical models challenge standard procedures. Formal Bayesian methods for model sele...
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We present expectation-maximization(EM) algorithms for fitting multivariate Gaussian mixture models to data that is truncated, censored or truncated and censored. These two types of incomplete measurements are naturally handled together through their relation to the multivariate truncated Gaussian distribution. We illustrate our algorithms on synthetic and flow cytometry data.
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An inverse regression methodology for assessing predictor performance in the censored data setup is developed along with inference procedures and a computational algorithm. The technique developed here allows for conditioning on the unobserved failure time along with a weighting mechanism that accounts for the censoring. The implementation is nonparametric and computationally fast. This provide...
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Bayesian optimization (BO) aims to minimize a given blackbox function using a model that is updated whenever new evidence about the function becomes available. Here, we address the problem of BO under partially right-censored response data, where in some evaluations we only obtain a lower bound on the function value. The ability to handle such response data allows us to adaptively censor costly...
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ژورنال
عنوان ژورنال: Advances in Decision Sciences
سال: 2011
ISSN: 2090-3359,2090-3367
DOI: 10.1155/2011/571768