Browsing by Author "Cao, Guanqun"

Now showing items 1-9 of 9

Automated microfluidic device development for metabolism, nutrient uptake, and hormone secretion analyses of primary endocrine tissues

Li, Xiangpeng (2017-07-25)

Pancreatic islets secret the dominant endocrine hormone, insulin, which controls the metabolic function fo nearly all other organ systems. Additionally, adipose tissue (fat) is now understood to be a complex, multicellular ...

Classification Using A Functional Partial Least Squares Logistic Regression Method

McAtee, Aaron (2016-04-12)

Statistical analysis of functional data has been explored extensively over the last decade and functional partial least squares regression has emerged as a popular choice for classification problems. In partial least ...

The determinants of the value of US tilapia import – Evidence from a gravity model

Gao, Penghui (2017-04-18)

As the biggest importing and food consuming country in the world, the United States increasingly imported large quantities of tilapia products in the past decade. In 2013, the United States imported 222 thousand tons of ...

New Statistical Learning for Next-Generation Functional Data and Spatial Data

Wang, Shuoyang (2022-03-18)

Advancements of modern technology have enabled the collection of sophisticated, high-dimensional data sets, such as 3D images, high dimensional data and other objects living in a functional space. As such, boosting the ...

Rank Based Group Variable Selection for Functional Linear Model

Park, Jieun (2019-12-09)

We propose a robust rank based variable selection method for a functional linear regression model with multiple explanatory functions and a scalar response. The procedure extends rank based group variable selection to ...

Rank-Based Methods for Single-Index Varying Coefficient Models

Sun, Wei (2017-06-27)

The single-index varying coefficient model has received much attention due to its flexibility and interpretability in recent years. This dissertation is mainly concerned with the rank-based estimation and variable selection ...

Robust Simultaneous Inference for Functional Data

Costa Lima, Italo Raony (2017-04-20)

Advancements in modern technology have enabled the collection of complex, high- dimensional data sets, such as curves, 2D or 3D images, and other objects living in a functional space, thus boosting the investigation of ...

Single Index Model for Tensor Data: Theory and Application

Wang, Rui (2021-09-09)

Modern scientific applications are frequently producing data sets where the data are not in the form of vectors but instead higher order tensors. For instance, multi-channel MEG signals in biomedical engineering, gene ...

THEORY OF HIGH-DIMENSIONAL ℓ1-PENALIZED LOGISTIC REGRESSION

Otubo, Emmanuel (2023-08-04)

n the setting where sample size n is sufficiently large relative to the number of features p, a classical result is that fitting a logistic model by means of maximum likelihood produces estimates that are approximately ...