Polynomial Chaos for Uncertainty Quantification Methods
Event Topic: Computational Mathematics & Statistics
Event Topic: Computational Mathematics & Statistics
Description In this talk, we will survey some well-known theorems regarding graphs being Hamiltonian or with stronger Hamiltonianrties. Recently, it has been found that most graphs satisfying the...
Description We estimate the daily integrated variance and covariance of stock returns using high-frequency data in the presence of jumps, market microstructure noise and non-synchronous trading. For...
SpeakerTanya Berger-WolfUniversity of Illinois at µç³µÎÞÂëhttp://compbio.cs.uic.edu/~tanya/ Description Computation has fundamentally changed the way we study nature. Recent breakthroughs in data...
Event Topic: Computational Mathematics & Statistics
Event Topic: Computational Mathematics & Statistics
SpeakerRyan MartinUniversity of Illinois at µç³µÎÞÂëhttp://homepages.math.uic.edu/~rgmartin/index.html Description In this talk I will present a flexible and identifiable version of the two-groups...
Event Topic: Computational Mathematics & Statistics
SpeakerCheng OuyangUniversity of Illinois at µç³µÎÞÂëhttp://homepages.math.uic.edu/~couyang/ Description Fractional Brownian motion is a natural generalization of Brownian motion. Study of stochastic...
Event Topic: Computational Mathematics & Statistics