Susan A. Baldwin (BS 1979)

Susan A. Baldwin is a Project Manager in the Information Technology Organization of Southern Company Services, Inc. - 26 years in June, 2007. Susan works in the corporate headquarters in downtown Atlanta and lives in Buckhead. She enjoys her family, friends and all that the big city has to offer. Her hobbies include: tennis, walking, concerts, art events, photography and fashion. She credits her Math background and Statistics/Computer Option degree (which included SAS programming among other computer programming courses) as a basis for great credentials for hiring on with Southern Company.

Tue, 02/06/2007
Alumni News: 

Thomas J. Mason (PhD 1973)

In 1993 Thomas J. Mason joined the graduate faculty at the College of Public Health, University of South Florida ( USF ). He served as the Chairperson of Epidemiology and Biostatistics for six years, and has served as the Director of the Global Center for Disaster Management and Humanitarian Action since 2000. He holds Joint Professorships in the Medical Ethics and Humanities and Global Emergency Medical Sciences in the Department of Internal Medicine, USF College of Medicine.

Fri, 03/16/2007
Alumni News: 

Walter Akins (BS 1971)

Walter Akins graduated in June of 1971 with a BS in Statistics. "I believe there were a total 6 Statistics Majors who graduated at that time. I worked for the Southeastern Cooperative Wildlife Disease Study at the College of Veterinary Medicine as a Wildlife Statistician until Feb of 1974. I earned a BS in Agricultural Mechanization Technology in 1979. I transferred to the Horticulture Department in Plant Sciences Building in 1974 and retired in January of 1995.

Mon, 10/22/2007
Alumni News: 

Hua Liang

University of Rochester Medical Center

Variable Selection in Semi-parametric Regression Modeling

We are concerned with how to select significant variables in semi-parametric modeling. Variable selection for semi-parametric regression models consists of two components: model selection for nonparametric components and selection of significant variables for parametric portion. Thus, it is much more challenging than that for parametric models such as linear models and generalized linear models because traditional variable selection procedures including stepwise regression and the best subset selection require model selection to nonparametric components for each sub-model.

Thursday, April 22, 2010 - 3:30pm
Type: 

Daya Dayananda

University of St.Thomas, St. Paul, Minnesota

Using Stochastic Price Process of a Stock to Fair Pricing of Multiple Financial Warrants
The purpose of this presentation is to find a closed from formula to value a financial instrument called “warrant”. The holder of a financial warrant has the right but not the obligation to purchase a share of the company concerned by paying $K at a specific time T into the future. The holder pays now to own the warrant and we are interested in the calculation of the fair value of his payment. The possibilities of multiple warrants in a company will also be examined.

The use of economic and statistics principles have been instrumental in developing many quantitative methodologies in finance, for example the famous formula of Black-Scholes that led to a Noble Prize in economics. In order to research in mathematical finance, it is essential to understand both economic principles and the ever changing financial activities in the market.

Friday, January 29, 2010 - 4:30pm
Type: 

A Multi-Stage Compartmental Model for HIV-Infected Individuals: Application to Insurance Functions and Health-Care Costs

TR Number: 
2010-05
L. Billard and P.W.A. Dayananda

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