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PhD students discussing data


Statistics include data mining — the statistical analysis of large data sets. Typical applications include determining which loan applicants are likely to default and how to distinguish legitimate credit card transactions from fraudulent transactions.

Statistical quality control refers to a collection of technical tools that helps firms maintain and improve the quality of their products and services. Bayesian statistics is used to incorporate prior information and expert opinion into the decision-making process.

Our faculty use Bayesian methods for the estimation of correlation/covariance and skewness models and the development of computational techniques that increase efficiency of these computationally intensive models.

Learn more about the department faculty

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Matthew Reindorp, PhD

Department Head

(215) 571-4671

Gerri C. LeBow Hall 742