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 9 of 9 for “"Varying Coefficient Model"”.
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Quantile Regression in a Varying Coefficient Model
… regression has been well developed for linear models but less explored for nonparametric models. In this thesis, we consider the estimation of conditional quantiles in a varying-coefficient model. Quantile functions are estimated by polynomial splines and computed via linear programming. A …
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Semiparametric Varying Coefficient Models for Matched Case-Crossover Studies
Semiparametric modeling is a combination of the parametric and nonparametric models in which some functions follow a known form and some others follow an unknown form. In this dissertation we made contributions to semiparametric modeling for matched case-crossover data. In matched case-crossover …
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Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models
… estimating the effects of time-fixed and time-varying factors in recurrent events modeling context. The research is motivated by the traffic safety research question of evaluating the influence of crash on driving risk and driver behavior. The methodologies developed, however, are general and …
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Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study
… I devote effort to several statistical modeling techniques for analyzing bivariate spatial-temporal data in a stream temperature study. In the first part, I focus our analysis on the individual stream. A time varying coefficient model (VCM) is used to study the relationship between air …
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Computationally Efficient Specifications of Spatial Point Process Models and Spatio-Temporal Gaussian Models: Combining Remote Sensing Drivers with Geospatial Disease Case Data to Enhance Geographic Epidemiology
… the flexibility of Bayesian hierarchical models specified using a latent Gaussian Markov Random Field (GMRF) are evaluated for use in analyzing large complex spatial and spatio-temporal data with the goal of contributing to an interdisciplinary effort of developing an eco-epidemiological …
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Time-varying networks estimation and Chinese words segmentation
… contains two research areas including time-varying networks estimation and Chinese words segmentation. Chapter 1 introduces the background of the time-varying networks and the structure of Chinese language, followed by the motivations and goals for the research work. In many biomedical and …
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Essays in Macroeconomics
… policy effects using semi-parametric varying-coefficient models in an otherwise standard VAR structure. While keeping a parametric reduced form for interpretability and efficiency, we estimate the coefficients as functions of modifying macroeconomic variables, using random forests as …
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Three essays on empirical industrial organization
… I use a generalized asymmetric error correction model and a time-varying coefficient model to test whether retail gasoline prices respond more quickly to increases than to decreases in spot market gasoline prices and calculate the cumulative response function along with the associated consumer …
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Three Essays on Economic Growth and Technology Development: Considering the Spillover Effects
… are prevalent in nowadays' economy. I formally model the spillover effects as the interdependence of total factor productivity (TFP), and develop a model in which spillover effects of R&D through the channel of international trade make the TFPs correlated among countries. In this sense, I apply …