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 10 of 10 for “"Time-varying Coefficient"”.
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Time-Varying Coefficient Models for Recurrent Events
I have developed time-varying coefficient models for recurrent event data to evaluate the temporal profiles for recurrence rate and covariate effects. There are three major parts in this dissertation. The first two parts propose a mixed Poisson process model with gamma frailties for single type …
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Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models
… methodologies for 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, …
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Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study
… I focus our analysis on the individual stream. A time varying coefficient model (VCM) is used to study the relationship between air temperature and water temperature for each stream. The time varying coefficient model enables dynamic modeling of the relationship, and therefore can be used to …
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Parametric Excitation of a DWSC
… without any external forcing, when one of the coefficients in the equation of motion (EOM) modeling the system varies with time. Parametric instability might be triggered for certain values of the parameters describing the time-varying coefficient. The DWSC, basically a stepped classic spar …
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Examining The Sustainability Of The Current Account Balance Using A Probability Approach
… bayesian vector autoregression and bayesian time-varying coefficient, applied to a diverse set of countries and data from 1980 to 2023. It examines the macroeconomic and global determinants of current account reversals and their implications for economic growth. The findings reveal that …
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Three essays in macroeconomic forecasting using Bayesian model selection
… several aspects of Bayesian model selection in time series forecasting of macroeconomic variables. The contribution is provided in three essays. In the first essay (Chapter 2) I forecast quarterly US inflation based on the generalized Phillips curve using econometric methods which incorporate …
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Inference of high-dimensional linear models with time-varying coefficients
… for high-dimensional linear models with time-varying coefficients and dependent error processes. The method is based on a novel combination of the nonparametric kernel smoothing technique and a Lasso bias-corrected ridge regression estimator using a bias-variance decomposition to address …
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Three essays on empirical industrial organization
… speeds in the U.S. gasoline market vary across time. The 20-year sample consisting of weekly New York Harbor gasoline spot prices and U.S. retail gasoline prices from 1993 to 2013 is first studied in its entirety and then divided according to breakpoints detected by structural break tests. I use …
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Flexible models and methods for longitudinal and multilevel functional data
… methods for functional mixed effects models with varying coefficients. This work is motivated by a clinical study of Complicated Grief (Shear et al. 2005). In the Complicated Grief Study, patients receive active treatment during a treatment period and then enter a follow-up period during which …
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Immune Infiltrates in Breast Cancer: Clinical Significance from Histopathology to Prognosis
… respectively. However, due to substantial time restrictions in the PhD, development of the tissue segmentation (tumour, stroma, artefact, glass) component of the custom algorithm was cut short. As a result, the custom algorithm’s performance dropped markedly relative to the Halo algorithm, …