Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"semiparametric method"”.
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Linear Mixed Model Robust Regression
… a nonparametric model fit to the data. It is a semiparametric method by which incompletely or incorrectly specified parametric models can be improved through adding an appropriate amount of a nonparametric fit. We apply this idea of model robustness in the framework of the linear mixed model. …
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Model Robust Regression Based on Generalized Estimating Equations
… and a nonparametric prediction. MRR is a semiparametric method by which an incompletely or an incorrectly specified parametric model can be improved through adding an appropriate amount of a nonparametric fit. The combined predictor can have less bias than the parametric model estimate …
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Approximate Bayesian approaches and semiparametric methods for handling missing data
… for the outcome variable. The proposed Bayesian method is also extended to incorporate the auxiliary information from full sample. In second paper (Chapter 3), a new Bayesian method using the Spike-and-Slab prior is proposed to handle the sparse propensity score estimation. The proposed method is …
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Dual Model Robust Regression
… and Birch (1996) have demonstrated an effective semiparametric method in the one regressor, single-model regression setting which is a "hybrid" of parametric and nonparametric fits. Using their techniques, we develop a dual modeling approach which is robust to misspecification in either or both …
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Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data
… for evaluating nonlinear interaction effect in a semiparametric model. To address the first topic, we propose a new Bayesian variable selection approach via the graphical model and the Ising model, which we refer to the ``Bayesian Ising Graphical Model'' (BIGM). There are several advantages of our …
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Essays on time series and panel data econometrics
… The first essay considers the bootstrap method for the covariates augmented Dickey-Fuller (CADF) unit root test suggested by Hansen (1995). It is known that the CADF test is very powerful. However, its limit distribution depends on the nuisance parameter, and thus inference is not …
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Essays on driving factors of migration: From regional to metro perspectives
Tiebout (1956) put forth his influential “voting with their feet” theory that people move across regions to match their preferences for the optimal bundle of tax and government services. Other previous studies had emphasized the significant impacts of locational characteristics on individual moving …