Global ETD Search

Sparse functional regression models: minimax rates and contamination

Xiong, Wei2012

In functional linear regression and functional generalized linear regression models, the effect of the predictor function is usually assumed to be spread across the index space. In this dissertation we consider the sparse functional linear model and the sparse functional generalized linear models …

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Functional regression models in the frame work of reproducing kernel Hilbert space

Qu, Simeng

… thesis is to systematically investigate some functional regression models for accurately quantifying the effect of functional predictors. In particular, three functional models are studied: functional linear regression model, functional Cox model, and function-on-scalar model. Both theoretical …

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Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data

Zhang, Xi

utahstate Repository record for Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data (opens in a new tab)

An investigation into Functional Linear Regression Modeling

Essomba, Rene FranckDepartment of Statistical Sciences2015

Functional data analysis, commonly 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 …

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