final Flashcards

(56 cards)

1
Q

Prior

A

probability distribution of interest conditioned on your information

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2
Q

likelihood

A

conditional distribution of the observed distinction given the distinction of interest

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3
Q

posterior

A

conditional distribution of the distinction of interest given the observed distinction

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4
Q

preposterior

A

the probability distribution of the observed distinction

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5
Q

sensitivity

A

probability that the test says positive given that the distinction of interest is really positive

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6
Q

specificity

A

probability that the test says negative given that the distinction of interest is negative

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7
Q

symmetric test

A

test is symmetric if sensitivity = specificity, otherwise asymmetric

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8
Q

relevant test

A

test is relevant if the probabilities assigned to the test outcome are different depending on the state of the distinction of interest

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9
Q

material test

A

test is material if results possibly change the preferred alternative. If decision the same no matter test outcome, it’s immaterial (also, assuming free test)

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10
Q

risk attitude

A

determined by relationship between persons CE of deal and e-value of the money

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11
Q

risk neutral

A

CE for deal is e-value of money. U-curve linear

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12
Q

risk averse

A

CE for deal < e-value of money; u-curve concave

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13
Q

risk preferring

A

CE for deal > e-value of money; u-curve convex

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14
Q

risk odds

A

r is risk attitude of delta person; r=p/(1-p)

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15
Q

risk tolerance

A

1/ln( r)

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16
Q

risk aversion

A

ln( r)

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17
Q

delta property

A

delta person if adding amount B to all prospects increases the CE of deal by B; PIBP=PISP; don_t need wealth

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18
Q

VOC

A

decider’s PIBP for clairvoyance to eliminate uncertainty in a situation

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19
Q

VFC

A

CE of deal with clairvoyance when cost of clairvoyance is 0

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20
Q

prospect

A

possible future state of the world–no uncertainty

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21
Q

deal

A

set of future prospects and their probabilities

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22
Q

preference probability

A

probability p at which decider indifferent between A for sure or a deal for B and W with p prob of B

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23
Q

five rules of actional thought

A

probability, order, equivalence, substitution, choice

24
Q

probability rule

A

we shall consider the world in terms of prospects and their probabilities

25
order rule
we can make a list of possible prospects in order of preference; no loops or you'd have a money pump
26
equivalence rule
a CE can be found. There is some p that makes you indifferent between B for sure and A or C with p for A
27
substitution rule
given equivalent deals, you are willing to substitute one for the other
28
choice rule
you must prefer the deal with the highest probability of the prospect you like the best
29
e value
probability weighted average of a measure.
30
u value
preference probability that's been scaled
31
expert
has powerful distinctions, has physical skills, knows history/borders of field, has humility
32
clairvoyance
information that resolves all uncertainty about an uncertainty
33
distinction
thought that separates a large group into degrees
34
degrees must be_
mutually exclusive and collectively exhaustive
35
useful
a distinction means what we want it to mean and helps us achieve clarity of action
36
decision basis
alternatives, preferences, information
37
relevant
distinctions are relevant when knowledge of one will affect our beliefs about the other
38
decision node
rectangle, represent decisions made
39
uncertainty node
oval, represents an uncertainty
40
deterministic node
two ovals, represents deterministic function of its inputs; if we know its inputs, we know the deterministic node
41
value node
hexagon or something, also a deterministic node but represents value the decision maker is trying to maximize
42
relevance arrow
between two uncertainties; absence implies irrelevance, presence implies possible relevance (based on conditioned state of information) "B is conditioned on A and may be relevant to A"
43
information arrows
arrows that enter a decision node; at the time of the decision, we know the outcomes of the things going into it "C and D1 are known when D2 is made"
44
influence arrows
from a decision node into an uncertainty node; decision we're making influences the probability distribution of the uncertainty "my choice in D may affect the distribution of uncertainty C"
45
functional arrows
enter a deterministic or a value node | "F is a deterministic function of D and E"
46
direct value arrows
functional arrows that enter into the value node
47
four rules of arrow flipping
1. add arrows wherever you want, but dont make a cycle! 2. You can flip an arrow if the uncertainties are based on same info 3. Cant remove arrows arbitrarily 4. no dancing
48
sunk cost principle
ignore past events and nonrecoverable loss of resources unless they affect your thoughts about the present or future
49
&
background state of information
50
associative logic error
the mistake you make if all lung cancer patients smoke and you think all smokers have lung cancer
51
responsible
have the ability to choose our response to environmental stimuli
52
proactive
recognition that we are responsible for our own lives
53
circle of concern
things we care about
54
circle of influence
things we have some degree of control over
55
decision
irrevocable or irreversible choice among alternative ways to allocate resources
56
value in use
how much an object is worth to you once it is integrated into your life and you can't sell or exchange it