Modelling Noise and Imprecision in Individual Decisions Graham
... (EU) maximiser may, within each state of mind, always weight the utilities of different payoffs by their respective probabilities; but different states of mind may be characterised by different utility functions, sometimes more concave, sometimes less concave or even on occasions convex, reflecting ...
... (EU) maximiser may, within each state of mind, always weight the utilities of different payoffs by their respective probabilities; but different states of mind may be characterised by different utility functions, sometimes more concave, sometimes less concave or even on occasions convex, reflecting ...
Decomposition of Event Sequences into Independent Components
... classical deļ¬nition of Markovian process where K = 1. We specify that local probabilities depend not only on the past, but also on the future to account for cases with lagged alarms and alarms that originate from unobserved joint source but have variable delay times. Note that Markovian property doe ...
... classical deļ¬nition of Markovian process where K = 1. We specify that local probabilities depend not only on the past, but also on the future to account for cases with lagged alarms and alarms that originate from unobserved joint source but have variable delay times. Note that Markovian property doe ...