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Full-Text Articles in Physical Sciences and Mathematics
Applications Of Bayesian Nonparametrics To Reliability And Survival Data, Li Li
Applications Of Bayesian Nonparametrics To Reliability And Survival Data, Li Li
Theses and Dissertations
Reliability and survival data are widely encountered across many common settings. Subjects under investigation often include machines, bioassays, patients, etc.; their reliability or survival distribution, and its association with covariate processes, are commonly of interest. Within this dissertation, the first two chapters focus on reliability data where repairable systems fail and get interventions, e.g. repairs in the event process. It begins with a nonparametric test for the commonly assumed ''good as old'' assumption for minimal repair models and then a semi-parametric regression model is introduced for reliability data using Kijima's effective age. The third chapter focuses on survival data observed …
Protein Identification Using Bayesian Stochastic Search, Christina Nicole Lewis
Protein Identification Using Bayesian Stochastic Search, Christina Nicole Lewis
Theses and Dissertations
Current methods for protein identification in tandem mass spectrometry (MS/MS) involve database searches or de novo peptide sequencing, with database searches being the standard method. With database searches, issues arise when the species is not in the database. Shortcomings of de novo peptide sequencing and database searches include chemical noise, overly complex fragments, and incomplete b and y ion sequences. Here we present a Bayesian approach to identifying peptides. Our model uses prior information about the average relative abundances of bond cleavages and the prior probability of any particular amino acid sequence. The proposed likelihood function is composed of two …