Agenda Day One
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Agenda Day 1 | Agenda Day 2 | Agenda Day 3
Regression and Generalized Linear Models
Generalized linear models (GLM) are important to a variety of actuarial and insurance applications. They encompass several core techniques like ordinary least-squares (OLS) regression, logistic regression, Poisson regression and Gamma regression.
Day one and a portion of day two will be devoted to this core topic. The morning will be dedicated to lecture-style presentations of core regression and GLM concepts. This theoretical discussion will be complemented by a sequence of textbook-style case studies designed to illustrate theoretical concepts and practical modeling techniques. In the afternoon, the session will transition to a somewhat more realistic, open-ended case study involving modeling health care expenditures. In addition to solidifying the GLM theory presented in the morning, the instructor will continue with data scrubbing, data visualization and exploratory data analysis, and the iterative process of building, criticizing, interpreting and validating models in the afternoon session.
Tuesday, March 27 |
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7:30 a.m. – 8:00 a.m.
Session Coordinator(s) Facilitator(s) |
8:00 a.m. – 9:00 a.m.
Session Coordinator(s) Facilitator(s) |
9:00 a.m. – 10:00 a.m.
Session Coordinator(s) Facilitator(s) |
10:00 a.m. – 11:00 a.m.
Session Coordinator(s) Facilitator(s) |
11:00 a.m. – 12:00 p.m.
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12:00 p.m. – 1:00 p.m.
Session Coordinator(s) Facilitator(s) |
1:00 p.m. – 2:00 p.m.
Session Coordinator(s) Facilitator(s) |
2:00 p.m. – 3:00 p.m.
Session Coordinator(s) Facilitator(s) |
3:00 p.m. – 4:30 p.m.
Session Coordinator(s) Facilitator(s) |