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Results for "Probability Distributions on a Circle"

Author: Kuan, Li-Hao Departments: Department of Computing Science

  • Comparing Parameterization Methods for Loss-Based Discrete-Time Individual Survival Prediction Models

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    Fall 2023

    Kuan, Li-Hao

    survival time for some patients. In general, an ISD model maps each patient x to his/her survival distribution, which is the probability that patient x will survive until time t, for each t > 0. We focus on discrete-time ISD models, which partition the future time into multiple time intervals and then

    Given a patient's description, a survival prediction model estimates that patient's survival time. We consider the challenge of learning an individual survival distribution (ISD) model from a dataset that includes censored training instances – i.e., data that provides only the lower bound of the

    apply machine learned regressors to estimate the survival probability in each time interval. These discrete-time ISD models can usually use fewer parameters than continuous models to describe different shapes of survival distributions by discretizing the survival time. We compare four survival models

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