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Showing 1 to 3 of 3 for “"Censored Regression Models"”.

  1. Censored Regression Models With Applications to Infrastructure Degradation Studies

    … we consider the estimation and inference for regression models where the response variable is bounded or censored. In these conditions, least squares methods are not appropriate, although they are widely used. This dissertation develops a generalization of the Tobit censored regression model …

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  2. Bayesian variable selection in high dimensional censored regression models

    … variable selection problem in a high-dimensional censored regression model that can handle gene expression data with hundreds of thousands of features. We propose an EM-like iterative algorithm for accelerated failure models (AFT models) with censored survival data under no distributional …

    uiuc Repository record for Bayesian variable selection in high dimensional censored regression models (opens in a new tab)

  3. Quantile regression and the duration of unemployment

    Powell (1986) proposed a quantile regression estimator for censored regression models on the basis of equivariance of quantiles to monotone transformations. In this thesis, censored quantile regression models are generalized using two-parameter Box-Cox transformation to relax the conventional …

    uiuc Repository record for Quantile regression and the duration of unemployment (opens in a new tab)