Current students
Andrew Le,
PhD student in Statistical Science
Zach Horton,
PhD student in Statistical Science
Ph.D. alumni
Jizhou Kang
Ph.D. in Statistical Science, Summer 2024, UCSC.
Dissertation title: Flexible and Efficient Ordinal Regression
with Bayesian Nonparametrics.
Yunzhe Li
Ph.D. in Statistical Science, Summer 2024, UCSC.
(Co-supervised with Juhee Lee).
Dissertation title: Flexible Bayesian Nonparametric Modeling
for Time-to-Event Data.
Chunyi Zhao
Ph.D. in Statistical Science, Summer 2022, UCSC.
Dissertation title: Bayesian Nonparametric Modeling for Spatial
Nonhomogeneous and Clustered Point Pattern Data.
Xiaotian Zheng
Ph.D. in Statistical Science, Summer 2022, UCSC.
(Co-supervised with Bruno Sanso).
Dissertation title: A Modeling Framework for Non-Gaussian
Spatial and Temporal Processes.
Hyotae Kim
Ph.D. in Statistical Science, Fall 2021, UCSC.
Dissertation title: Flexible Bayesian Modeling and Inference
Methods for Hawkes Processes.
Matthew Heiner
Ph.D. in Statistical Science, Summer 2019, UCSC.
Dissertation title: Bayesian Mixture Modeling and Order Selection for
Markovian Time Series.
Yifei Yan
Ph.D. in Statistics and Applied Mathematics, Summer 2017, UCSC.
Dissertation title: Bayesian Modeling and Inference for Quantile
Mixture Regression.
Annalisa Cadonna
Ph.D. in Statistics and Applied Mathematics, Winter 2017, UCSC.
(Co-supervised with Raquel Prado).
Dissertation title: Bayesian Mixture Models for Spectral
Density Estimation.
Robert Richardson
Ph.D. in Statistics and Applied Mathematics, Spring 2015, UCSC.
(Co-supervised with Bruno Sanso).
Dissertation title: Flexible Integro-Differential Equations
for Bayesian Modeling of Spatio-Temporal Data.
Sai Xiao
Ph.D. in Statistics and Applied Mathematics, Winter 2015, UCSC.
(Co-supervised with Bruno Sanso).
Dissertation title: Bayesian Nonparametric Modeling for Some
Classes of Temporal Point Processes.
Maria DeYoreo
Ph.D. in Statistics and Applied Mathematics, Summer 2014, UCSC.
Dissertation title: A Bayesian Framework for Fully Nonparametric Ordinal Regression.
(Winner of the ISBA 2015 Savage Award in Applied Methodology)
Valerie Poynor
Ph.D. in Statistics and Applied Mathematics, Summer 2013, UCSC.
Dissertation title: Bayesian Nonparametric Gamma Mixtures for Mean
Residual Life Inference.
Ziwei Wang
Ph.D. in Statistics and Stochastic Modeling, Fall 2012, UCSC.
(Co-supervised with Abel Rodriguez).
Dissertation title: A Bayesian Nonparametric Modeling Framework
for Extreme Value Analysis.
Marian Farah
Ph.D. in Statistics and Stochastic Modeling, Fall 2011, UCSC.
Dissertation title: Bayesian Nonparametric Methods for
Emulation, Sensitivity Analysis, and Calibration of Computer Simulators.
Kassandra Fronczyk
Ph.D. in Statistics and Stochastic Modeling, Summer 2011, UCSC.
Dissertation title: A New Framework for Bayesian Analysis of
Dose-Response Studies through Dependent Nonparametric Modeling
for Categorical Responses.
Matthew Taddy
Ph.D. in Statistics and Stochastic Modeling, Spring 2008, UCSC.
Dissertation title: Bayesian Nonparametric Analysis of Conditional
Distributions and Inference for Poisson Point Processes.
(Honorable Mention for the ISBA 2009 Savage Award in Applied Methodology)
Milovan Krnjajic
Ph.D. in Computer Science, Summer 2005, UCSC.
(Co-supervised with David Draper).
Dissertation title: Contributions to Bayesian Statistical Analysis:
Model Specification and Nonparametric Inference.
M.Sc. alumni
Heidi Rogers,
M.Sc. in Statistical Science, Summer 2021, UCSC.
Project title: Feeding Time in the Spotted Hyena Cub:
An Exploration of Social Rank and Age using a Bayesian
Hierarchical Approach.
Tracey Ramirez,
M.Sc. in Statistical Science, Summer 2021, UCSC.
Project title: Implementation of the Continuation-Ratio
Logit Model to Survey Response Data Using Bayesian Methods.
Maria DeYoreo,
M.Sc. in Statistics and Applied Mathematics, Summer 2011, UCSC.
Project title: Bayesian Semiparametric and Nonparametric Inference
for Binary Regression.
Valerie Poynor,
M.Sc. in Statistics and Applied Mathematics, Fall 2010, UCSC.
Project title: Bayesian Inference for Mean Residual Life Functions in
Survival Analysis.
Elizabeth Pacheco,
M.Sc. in Statistics and Stochastic Modeling, Winter 2009, UCSC.
(MS project co-supervised with Bruno Sanso).
Project title: Bayesian Modeling Approaches for Marked
Non-Homogeneous Poisson Processes.
Joel Mefford,
M.Sc. in Computer Science, Fall 2005, UCSC.
Thesis title: Bayesian Nonparametric Mixtures of Weibull
Distributions With Applications to Survival Analysis.
thanos@soe.ucsc.edu
Last updated September 10, 2024