Address: |
Department of Mathematics and Statistics | |

San Jose State University | ||

San Jose, California 95192-0103 | ||

Office: |
MacQuarrie Hall 414 | |

Telephone: |
408-924-5099 | |

Fax: |
408-924-5080 | |

E-mail: |
[No spam] beeleng dot lee at sjsu dot edu |

This page was last updated on 8/2016.

Canvas, MySJSU, King Library, Calendars

Class |
Class Title |
Last Taught |
||||

Math 30 | Calculus I | Fall 2010 | ||||

Math 70 | Finite Mathematics (Spring 2008) | Spring 2008 | ||||

Math 161A | Applied Probability and Statistics I | Fall 2015 | ||||

Math 161B | Applied Probability and Statistics II | Fall 2006 | ||||

Math 162 | Statistics for Bioinformatics | Spring 2006 | ||||

Math 163 | Probability Theory | Fall 2010 | ||||

Math 164 | Mathematical Statistics | Spring 2016 | ||||

Math 203 | CAMCOS | Spring 2013 | ||||

Math 258 | Categorical Data Analysis | Fall 2015 | ||||

Math 261B | Design and Analysis of Experiments | Spring 2007 | ||||

Math 264 | Bayesian Data Analysis | Fall 2014 | ||||

Math 266 | Survival Analysis | Fall 2013 | ||||

Math 267 | Computational Statistics | Spring 2016 | ||||

Math 267A | Statistical Programming with R | New course | ||||

SMPD 286 | Statistical Methods in Clinical Trials | Fall 2009 |

List of publications from Google Scholar

**Manuscripts/Work in Progress**

- An introduction to probability: supplementary material for Math 71 (with S. M. Crunk). 2014.

- The Yule-Walker equations as a weighted least squares problem and the association with tapering (with J. Parrish and S. M. Crunk). Accepted (2014).

- A curve-free Bayesian decision-theoretic design for two-agent phase I trials (with S. K. Fan and Y. Lu). Accepted (2015).

- Parametric inference for right-censored data with indeterminate failure and censoring times (with S. M. Crunk, M. Khan, and W. B. Fairley). Submitted.

- A curve-free Bayesian decision-theoretic design for evaluating safety and efficacy in phase I trials.

- A predictive model for simultaneous polydrug use (with A. Cheng, S. Laraway and S. Laraway).

- An introduction to computational probability and statistics (chapter 1)

I was born and raised in Singapore, where I received my Bachelor's degree in Statistics (First Class Direct Honours) at National University of Singapore. I was awarded an overseas graduate scholarship to pursue my graduate studies at University of Wisconsin-Madison, where I received my MS and PhD degree in Statistics. Before joining the faculty of San Jose State University, I was appointed as an assistant professor of Statistics and Applied Probability at National University of Singapore.