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+ | <WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP> | ||
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+ | <WRAP 70% center> | ||
+ | ^ **DATE:**|Thursday, September 7, 2017 | | ||
+ | ^ **TIME:**|1.15p-2.15p | | ||
+ | ^ **LOCATION:**|WH 100E | | ||
+ | ^ **SPEAKER:**|Yang Fang, Binghamton University | | ||
+ | ^ **TITLE:**|Bayesian Estimation for the Multivariate Normal Inverse Gaussian Model | | ||
+ | </WRAP> | ||
+ | \\ | ||
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+ | <WRAP center box 80%> | ||
+ | <WRAP centeralign>**Abstract**</WRAP> | ||
+ | Mixture of multivariate normal inverse Gaussian (MNIG) distributions could be applied to clustering financial data. Parameter estimation of MNIG distribution under Bayesian framework via a Gibbs scheme is provided. The estimation process contains complicate distribution whose simulation is not standard. Application to both simulated and real data are discussed. | ||
+ | </WRAP> | ||
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