Flexible Machine Learning Methods with a Multinomial Choice Model and their Applications to Financial Markets.

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dc.contributor.advisorWenbin Lu, Chair
dc.contributor.advisorXinge Jeng, Member
dc.contributor.advisorJung-Ying Tzeng, Member
dc.contributor.advisorTao Pang, Member
dc.contributor.authorElsheimer, David Bruce Durham
dc.date.accepted2024-09-03
dc.date.accessioned2024-09-05T12:30:27Z
dc.date.available2024-09-05T12:30:27Z
dc.date.defense2024-08-16
dc.date.issued2024-08-16
dc.date.released2024-09-05
dc.date.reviewed2024-08-23
dc.date.submitted2024-08-16
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg39155
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/44254
dc.titleFlexible Machine Learning Methods with a Multinomial Choice Model and their Applications to Financial Markets.

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