Dept. of Statistics

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  • Shi, Peibei (2015-07-16)
    Weak signal identification and inference are very important in the area of penalized model selection, yet they are under-developed and not well-studied. Existing inference procedures for penalized estimators are mainly ...

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  • Trachtenberg, Felicia Lynn (2000)
    In the logistic item response theory models, the number of parameters tends to infinity together with the sample size. Thus, there has been a longstanding question of whether the joint maximum likelihood estimates for these ...

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  • Liu, Li (2000)
    To effectively build a regression model with a large number of covariates is no easy task. We consider using dimension reduction before building a parametric or spline model. The dimension reduction procedure is based on ...

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  • Fu, Limin (2000)
    In the last part of the thesis we discuss the methods for handling censored data for both categorical and continuous responses. We develop EM algorithms for censored data in general, and also develop a weighted least ...

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  • Habing, Brian Thomas (1998)
    A method of Pashley and Reese (in press) for simulating locally dependent data, whose item pair dependencies relate directly to local dependence assessment procedures is discussed. This method is extended to allow for the ...

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