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Showing 1 to 3 of 3 for “"cumulative logistic regression"”.

  1. Quantile regression and survival analysis

    … six chapters and focus on two topics: quantile regression and survival analysis. Firstly, direct use of regression quantiles to construct confidence intervals and confidence bands for conditional quantiles and prediction intervals for future response variables under homoscedastic linear models …

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  2. STATISTICAL FOUNDATIONS OF SINGLE CELL OPEN CHROMATIN ASSAYS

    … By introducing a missing-data-corrected Cumulative Logistic Regression framework (mcCLR), we extend the conventional Generalized Linear Model (GLM) framework to further incorporate individual-specific missing data in statistical tests. Taken together, this dissertation comprises two main …

    penn Repository record for STATISTICAL FOUNDATIONS OF SINGLE CELL OPEN CHROMATIN ASSAYS (opens in a new tab)

  3. Data-driven Automatic Edge Sharpening

    Sharpening is a powerful image transformation because sharp edges can bring out image details. Sharpness is achieved by increasing local contrast and reducing edge widths. We present a method that enhances sharpness of images and thereby their perceptual quality. Most existing enhancement …

    uiuc Repository record for Data-driven Automatic Edge Sharpening (opens in a new tab)