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
AUTHORS (3)
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.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (12)
CITATIONS (2)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....