Campuses:

predictability

Monday, June 11, 2018 - 9:00am - 9:50am
Thaleia Zariphopoulou (The University of Texas at Austin)
In this talk, I will introduce a new class of forward performance processes that are endogenous and predictable with regards to an underlying market information set and, furthermore, they are updated at discrete times. I will discuss in detail a binomial model whose parameters are random and updated dynamically as the market evolves.
Wednesday, September 14, 2016 - 3:10pm - 4:00pm
Bin Yu (University of California, Berkeley)
In this talk, I'd like to discuss the intertwining importance and connections of three principles of data science in the title in data-driven decisions. The ultimate importance of prediction lies in the fact that future holds the unique and possibly the only purpose of all human activities, in business, education, research, and government alike.
Making prediction as its central task and embracing computation as its core, machine learning has enabled
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