Bo Ning is a fifth year Ph.D. candidate in Deparment of Statistics at North Carolina State University. He is advised under Dr. Peter Bloomfield and Dr. Subhashis Ghoshal. He has his research insterests in Bayesian methodoglogies and theoretical studies on dynamic time series models, high dimensional model and nonparametric models. He also interested in applications on causal inference and Astrostatistics.
He is currently looking for a PostDoc position. CV
Papers submitted/ in preparation
Here I list of some future projects have not fully planned out yet:
The Kepler mission has detected tons of exoplanets with only few of them have both of the mass and radius measurements. Modeling their mass-radius relationships is important for understanding their components. My previous study only selected the exoplanets have both mass and radius measurements to explore their mass-radius relationships. In the next project, I am trying to build a Bayesian model to include those exoplantes only have one of the mass and radius measurements to model the relationships.
Although deconvolution problems have been intensively studied in many Frequentist literatures, the results in the Bayesian side are limited. Due to astronomy data often contain measurement errors and Bayesian models are widely used in the Astronomy society, it is important to understand the Frequentist properties of those models.
Presentations and poster
2015 Fall†; 2016 Spring†; 2016 Fall†‡; 2017 Fall†‡;
Online course teaching assistant
2014 Summer I†; 2014 Fall†; 2015 Spring†;
2016 Spring†; 2017 Spring†‡
†: master level; ‡: Ph.D. level
Trainings and awards
Department of Statistics
NC State University
Raleigh, NC 27695