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Showing 1 to 2 of 2 for “"Bayesian Finite Mixture Model"”.

  1. Methodological Development with Machine Learning and Bayesian Approaches in Cancer and Nutrition Research

    … and prediction through data and algorithm modeling by incorporating Bayesian and machine learning methodologies to solve problems in cancer and nutrition research. Chapter 2 explores Bayesian finite mixture models for adherence estimation and clinical trial design aimed at improving …

    ku Repository record for Methodological Development with Machine Learning and Bayesian Approaches in Cancer and Nutrition Research (opens in a new tab)

  2. Recurrent-Event Models for Change-Points Detection

    … develops recurrent-event change-point models to detect the time when driving risk decreases significantly for novice teenager drivers. The dissertation consists of three major parts: the first part applies recurrent-event change-point models with identical change-points for all …

    vt Repository record for Recurrent-Event Models for Change-Points Detection (opens in a new tab)