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Dynamic Modeling of Incomplete Event History Data
Title
Dynamic Modeling of Incomplete Event History Data
Author
Heng, Fei
Date Created
2019
Subjects--Topical
Statistics
Description
Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...
Generalized semiparametric varying-coefficient models for longitudinal data
Title
Generalized semiparametric varying-coefficient models for longitudinal data
Author
Qi, Li
Date Created
2015
Subjects--Topical
Mathematics, Statistics, Biometry
Description
In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effec...
Goodness-of-Fit Tests Under Permutations
Title
Goodness-of-Fit Tests Under Permutations
Author
Chen, Chen
Date Created
2019
Subjects--Topical
Statistics, Mathematics, Information science
Description
Several new goodness-of-fit tests are proposed on countable alphabets, where certain fundamental statistical concepts associated with random variables, such as cumulative distribution functions, characteristic functions and moments, may not exist....
Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Title
Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Author
Stewart, Ann
Date Created
2019
Subjects--Topical
Statistics
Description
Jensen-Shannon divergence is one reasonable solution to the problem of measuring the level of difference or "distance'" between two probability distributions on a multinomial population. If one of the distributions is assumed to be known a priori,...
Multivariate Functional Predictor Selection
Title
Multivariate Functional Predictor Selection
Author
Mahzarnia, Ali
Date Created
2021
Subjects--Topical
Mathematics, Statistics
Description
We propose methods for functional predictor selection and the estimation of smooth functional coefficients simultaneously in a scalar-on-function regression problem under a high-dimensional multivariate functional data setting. In particular, we d...