Global ETD Search

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Showing 1 to 5 of 5 for “"Identifiability problem"”.

  1. A Smoothing Model and Its Asymptotics with Applications to Health Studies and Social Research

    … as an effective alternative to address the identifiability problem in age-period-cohort analysis, in which multiple estimators are induced by a linear dependence of covariates: Period - Age = Cohort in the regression model of APC analysis. The smoothing cohort model yields consistent …

    houston Repository record for A Smoothing Model and Its Asymptotics with Applications to Health Studies and Social Research (opens in a new tab)

  2. Causal Structure Learning through Double Machine Learning

    … and computational challenges and iv) the identifiability problem arises because multiple causal models can yield the same observational distribution, making it impossible to conclusively determine the true structure. In this thesis, we focus on the partial identification of underlying p …

    mit Repository record for Causal Structure Learning through Double Machine Learning (opens in a new tab)

  3. Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology

    … of gene expression level is a direct inference problem, whereas the quantification of the transcript expression level is an indirect problem, because the label of the transcript each short read is generated from is missing. A number of methods have been proposed in the literature to quantify the …

    purdue-thes Repository record for Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology (opens in a new tab)

  4. Quantitative Models for Prudential Credit Risk Management

    … of the standard EMV model – namely, the identifiability problem and the forecasting of the components of the model in predictive applications. We extend the model beyond the three time dimensions by introducing a behavioural dimension. This allows the model to produce loan-specific …

    cape-town Repository record for Quantitative Models for Prudential Credit Risk Management (opens in a new tab)

  5. Quantitative models for prudential credit risk management

    … of the standard EMV model – namely, the identifiability problem and the forecasting of the components of the model in predictive applications. We extend the model beyond the three time dimensions by introducing a behavioural dimension. This allows the model to produce loan-specific …

    cape-town Repository record for Quantitative models for prudential credit risk management (opens in a new tab)