Browsing by Subject "Bayesian inference"
Now showing items 1-10 of 10
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A Bayesian Model for Nucleosome Positioning Using DNase-seq Data
(2015)As fundamental structural units of the chromatin, nucleosomes are involved in virtually all aspects of genome function. Different methods have been developed to map genome-wide nucleosome positions, including MNase-seq and ... -
Bayesian Modeling for Identifying Selection in B cell Maturation
(2023)This thesis focuses on modeling the selection effects on B cell antibody mutations to identify amino acids under strong selection. Site-wise selection coefficients are parameterized by the fitnesses of amino acids. First, ... -
Bayesian quantile regression joint models: Inference and dynamic predictions.
(Statistical methods in medical research, 2018-01)In the traditional joint models of a longitudinal and time-to-event outcome, a linear mixed model assuming normal random errors is used to model the longitudinal process. However, in many circumstances, the normality assumption ... -
Comparison of Bayesian Inference Methods for Probit Network Models
(2021)This thesis explores and compares Bayesian inference procedures for probit network models. Network data typically exhibit high dyadic correlation due to reciprocity. For binary network data, presence of dyadic correlation ... -
Data augmentation for models based on rejection sampling.
(Biometrika, 2016-06)We present a data augmentation scheme to perform Markov chain Monte Carlo inference for models where data generation involves a rejection sampling algorithm. Our idea is a simple scheme to instantiate the rejected proposals ... -
Information-Based Sensor Management for Static Target Detection Using Real and Simulated Data
(2009)In the modern sensing environment, large numbers of sensor tasking decisions must be made using an increasingly diverse and powerful suite of sensors in order to best fulfill mission objectives in the presence of ... -
Nonparametric Bayesian Context Learning for Buried Threat Detection
(2012)This dissertation addresses the problem of detecting buried explosive threats (i.e., landmines and improvised explosive devices) with ground-penetrating radar (GPR) and hyperspectral imaging (HSI) across widely-varying ... -
Novel Sensing and Inference Techniques in Air and Water Environments
(2015)Environmental sensing is experiencing tremendous development due largely to the advancement of sensor technology and wireless technology/internet that connects them and enable data exchange. Environmental monitoring sensor ... -
Phylogeny and evolution of ferns (monilophytes) with a focus on the early leptosporangiate divergences.
(American journal of botany, 2004-10)The phylogenetic structure of ferns (= monilophytes) is explored here, with a special focus on the early divergences among leptosporangiate lineages. Despite considerable progress in our understanding of fern relationships, ... -
Random Orthogonal Matrices with Applications in Statistics
(2019)This dissertation focuses on random orthogonal matrices with applications in statistics. While Bayesian inference for statistical models with orthogonal matrix parameters is a recurring theme, several of the results on random ...
