Academic Webpage of Stan Yip

 

Name:     Yip Chun Yin, Stanley (Stan)

Position:  Assistant Professor, Department of Applied Mathematics,

                The Hong Kong Polytechnic University

Office:     HJ625, Stanley Ho Building, Hung Hom, Hong Kong

Email:      cyyip@inet.polyu.edu.hk

Tel:          27666927

Fax:          23629045

 

Education

PhD in Statistics, University of Southampton – Bayesian spatio-temporal modeling for forecasting ground level ozone concentration levels

BSc (Hons) in Mathematics, University of Southampton – First Class

 

Biography

Dr Stan Yip is an assistant professor in the Department of Applied Mathematics, the Hong Kong Polytechnic University. He held the fellowship of NERC National Centre for Atmospheric Science and worked as a postdoctoral fellow in University of Exeter from 2008 to 2011. He is a statistician by training and holds a Doctor of Philosophy from the School of Mathematics, University of Southampton. He was a visiting scholar in the Department of Statistical Science, Duke University. He has attended the NERC sponsored climate modeling summer school in Cambridge for his research in meteorology. He published papers in several environmental journals.

 

Professional membership

Fellow                                      Royal Statistical Society

Associate Fellow                     Royal Meteorological Society

 

Courses teaching:

2011-2012, Semester 2:

AMA241                                  Figuring Out Statistics

AMA264                                  Survey Sampling (Fuel Consumption Data download here) (Student Biometric Data for assignment 1) (Environmental Data for assignment 1)

AMA513                                  Design and Analysis of Experiments

 

Publications

Yip, S., Ferro, C.A.T., Stephenson, D.B. and Hawkins, E. (2011), “A simple, coherent framework for partitioning uncertainty in climate predictions. Journal of Climate, 24, 4634-4643.

Sahu, S. K., Yip, S. and Holland, D. M. (2010), “A Fast Bayesian method for updating hourly maps of ozone concentration levels by combining computer model output and observed station data” Environmental and Ecological Statistics, 18, 185-207.

Sahu, S. K., Yip, S. and Holland, D. M. (2009), “Improved space-time forecasting of next day ozone concentrations in the eastern U.S.” Atmospheric Environment, 43, 494-501.

 

Ongoing research

Spatial marked point process on storm (with T. Economou, Exeter)

Disease modeling (with E. Cheng, Southampton)

Uncertainty - carbon cycle (with C. Jones, UK Met Office)

Uncertainty - storm (with P. Sansom, Exeter)

Quantifying climate ensembles uncertainty using information theory (with C.A.T. Ferro and D.B. Stephenson, Exeter)

 

Epilogue

I built this webpage using Microsoft Word and notepad without any fancy theme or photo. However I bet you can find the stuffs related to my academic and teaching work informative. Here are some work-related links I am fond of:

Department of Mathematics, University of Southampton

Exeter Climate Systems, University of Exeter

National Centre for Atmospheric Science

Met Office

Department of Statistical Science, Duke University

 

I have an Erdös number = 4 and here my mathematics genealogy. Also, there are some semi-work-related links I like:

Statistical Modeling, Causal Inference, and Social Science (Andrew Gelman)

The Reasoner

 

For non-academic stuff and fulfilling your curiosity, you can have a look of the following links:

My malfunctioned personal blog in Chinese language – about what I have lived for

Southampton Football Club – being a saint and simply making your life better

Lily Allen – special special

Texas hold’em Wikipedia – I am a gambler who likes to play Texas hold’em, seven-card stud hi-lo, Omaha hold’em and see you in Las Vegas