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Oct 17, 2024
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MAST 6252 - Applied Probability Models
Credits: 2
Applies fundamental concepts of probability to data analysis and forecasting. The methodological focus is on both maximum likelihood and Bayesian approaches to statistical inference. Particular attention is placed on count, choice, and timing models, with heterogeneous latent variables. Applications are drawn from a wide range of business settings such as new product forecasting, customer retention and lifetime value modeling, and market segmentation. Prerequisite: Enrollment in the M.S.B.A. program. (*updated* 11/12/2019; effective Spring 2020)
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