A fast estimation procedure for discrete choice random coefficients demand model

Discrete choice
DOI: 10.1080/00036846.2017.1349289 Publication Date: 2017-07-10T09:38:17Z
ABSTRACT
We document speed-up gains of graphical processing unit (GPU) computing over central (CPU) for the estimation discrete choice random coefficient demand model. When we use a moderate-sized GPU, computation is six to twenty times faster, where smallest factor, six, obtained from comparison with parallel sixteen CPU cores.
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