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 7 of 7 for “"semi-parametric models"”.
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Semi-parametric models for response times and response accuracy in computerized testing
… to analyzing the responses themselves. Current models for response times,however, mainly focus on parametric models that have the advantage of conciseness, but may suffer from a reduced flexibility to fit real data. This thesis presents two types of semi-parametric models that combine the …
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Data Driven Nonparametric Detection
… problems have been intensively studied under parametric and semi-parametric models with underlying distributions being fully or partially known, nonparametric scenarios are not well understood yet. This thesis mainly explores nonparametric models with unknown underlying distributions as well …
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Evaluating Statistical Models for Baseline Characterization and Measuring Change in Environmental Monitoring Data
In Before-After monitoring studies, statistical models are used to characterize baseline (i.e., pre-disturbance) conditions, and to detect, quantify, and forecast change during operational monitoring (i.e., post-disturbance). To establish best practices for analyzing monitoring data, a model …
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A study of home advantage in football and other contributions to sports data analysis
… Covariate analysis was performed using parametric and semi-parametric models in an attempt to better interpret home advantage by analysing regularly hypothesised causal relationships. Over and under dispersion in goal counts may be the result of variation in team skill or the lack …
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Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models
… based on mixed-effect binomial regression models was used. In Chapter 3, I introduced intensity-based recurrent event models by treating number of Safety Critical Incidents and Near Crash over time as a counting process. Recurrent event models fit the natural generation scheme of the data …
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Modelling Hepatitis C virus infection and treatment impact through serological surveillance data
… I first apply catalytic and multi-state models to UAM data to estimate injecting dura- tion–specific and time-varying HCV incidence. By incorporating serological and virological markers, these models are extended to account for reinfection and treatment-induced clearance. Simulation …
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Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection
… concern</p><p>the development of Bayesian semi-parametric models for arrival times. Chapter 2</p><p>considers Bayesian inference for a Gaussian process modulated temporal inhomogeneous Poisson point process, made challenging by an intractable likelihood. The intractable likelihood is …