Learning and Decision-Making from Rank Data

Surveys some recent progress toward addressing the challenge from the considerations of statistics, computation, and socio-economics. The book covers classical statistical models for rank data, including random utility models, distance-based models, and mixture models, and discusses classical and state of-the-art algorithms.

Ancheteaza unele progrese recente catre abordarea provocarii din considerente de statistica, calcul si socioeconomie. Cartea acopera modele statistice clasice pentru datele de rang, inclusiv modele de utilitate aleatorii, modele bazate pe distanta si modele de amestec si discuta algoritmi clasici si de ultima generatie.