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Showing 1 to 5 of 5 for “"Penalized Likelihood Method"”.

  1. Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability

    … document relevance to user need. Two statistical methods are proposed which incorporates document length as a substantial weighting factor to achieve higher retrieval performance. Second, we utilize the property of survival function to propose a cost-based re-ranking method to promote ranking …

    york Repository record for Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability (opens in a new tab)

  2. Variable screening and graphical modeling for ultra-high dimensional longitudinal data

    … longitudinal data. In chapter 3, we propose a penalized likelihood approach to identify the edges in a conditional independence graph for longitudinal data. We used pairwise coordinate descent combined with second order cone programming to optimize the penalized likelihood and estimate the …

    vt Repository record for Variable screening and graphical modeling for ultra-high dimensional longitudinal data (opens in a new tab)

  3. Statistical Methods For Biomarker Threshold Models in Clinical Trials

    … often unknown. For this situation, the ordinary likelihood ratio test cannot be applied for testing treatment-biomarker interaction because of the model irregularities. We develop a residual bootstrap method to approximate the distribution of a proposed test statistic to test for …

    queens Repository record for Statistical Methods For Biomarker Threshold Models in Clinical Trials (opens in a new tab)

  4. Model-based methods for high-dimensional multivariate analysis

    … main parts. In the first part, we propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the means and the precision matrix, which we assume has a Kronecker product decomposition. Our penalties …

    umn Repository record for Model-based methods for high-dimensional multivariate analysis (opens in a new tab)

  5. Cure Rate Models with Nonparametric Form of Covariate Effects

    This thesis focuses on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The …

    vt Repository record for Cure Rate Models with Nonparametric Form of Covariate Effects (opens in a new tab)