Lecture 5 Flashcards
How is uncertainty modelled? What is it?
It is modelled through a state space, S. it is a set of states where only one is true but it is uncertain which
Special name for states under uncertainty and why?
States of nature since the decision maker has no influence on which of the states is true
What are events?
Sunsets of the state space
What is E^c?
The complementary event to E (the negation of E)
How are outcomes denoted?
Either Greek letters or x’s
How is each state denoted?
Each state of S is denoted s1, s2….
See rest of notation in notes
Now
What are prospects?
Prospects designate state-contingent outcomes - they are courses of action for the decision maker
Define decision under uncertainty?
In decision under uncertainty, S is a finite or infinite state space, and R is the outcome set. Prospects map states to outcomes. The domain of preference is the set of all prospects. >= is a preference relation on the set of prospects
What is a certainty equivalent?
A certainty equivalent of a prospect x is an outcome α such that α~x
Explain first way to make decisions under uncertainty?
By choosing probabilities for uncertain events (subjective) and then maximising EV wrt those probabilities
What is an EV maximiser? And what if not?
If your preference towards all decisions can be represented by EV we say you are an EV maximiser
If not, we say EV doesn’t hold for you
With EV maximin method what are the subjective parameters?
The subjective probabilities - they characterise the decision maker
See
Slides 19-24
See
Top of 2nd side of notes on steps 1-3