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Showing 1 to 4 of 4 for “"Generalized information criterion"”.

  1. Model Selection with Information Criteria

    This thesis is on model selection using information criteria. The information criteria include generalized information criterion and a family of Bayesian information criteria. The properties and improvement of the information criteria are investigated. We analyze nonasymptotic and asymptotic …

    uwo Repository record for Model Selection with Information Criteria (opens in a new tab)

  2. An investigation into Functional Linear Regression Modeling

    … known as FDA", refers to the analysis of information on curves of functions. Key aspects of FDA include the choice of smoothing techniques, data reduction, model evaluation, functional linear modeling and forecasting methods. FDA is applicable in numerous applications such as Bioscience, …

    cape-town Repository record for An investigation into Functional Linear Regression Modeling (opens in a new tab)

  3. Statistical models with diverging dimensionality

    Nowadays in many statistical applications, we face models whose complexity increases with the sample size. Such models pose a challenge to the traditional statistical analysis, and call for new methodologies and new asymptotic studies, which are exactly the focus of my thesis. In particular, my …

    uiuc Repository record for Statistical models with diverging dimensionality (opens in a new tab)

  4. Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data

    Longitudinal data arise frequently in many studies where measurements are obtained from a subject repeatedly over time. Consequently, measurements within a subject are correlated. We address two rather important but challenging issues in this thesis: mixed-effect modeling with unspecified random …

    uiuc Repository record for Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data (opens in a new tab)