We propose a semiparametric estimator for multinomial discrete choice models. The term “semiparametric” refers to the fact that we do not specify a particular functional form for the error term in the random utility function and we allow for heteroskedasticity and serial correlation. Despite being semiparametric, the rate of convergence of the smoothed maximum score estimator is not affected by...

Structures of hitherto unknown protein complexes can be predicted by docking the solved protein monomers. Here, we present a method to refine initial docking estimates of protein complex structures by a Monte Carlo approach including rigid-body moves and side-chain optimization. The energy function used is comprised of van der Waals, Coulomb, and atomic contact energy terms. During the simulati...

The didjeridu (didgeridoo) or yidaki of the Australian Aboriginal people consists of the narrow trunk of a small Eucalypt tree that has been hollowed out by the action of termites, cut to a length of about 1.5 m, smoothed, and decorated. It is lip-blown like a trumpet and produces a simple drone in the frequency range 55 to 80 Hz. Interest arises from the fact that a skilled player can make a v...

We develop a novel framework to accelerate Gaussian process regression (GPR). In particular, we consider localization kernels at each data point down-weigh the contributions from other points that are far away, and derive GPR model stemming application of such operation. Through set experiments, demonstrate competitive performance proposed approach compared full GPR, localized models, deep proc...