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S Jan 15, 2015 at 16:25 history bounty ended ZillGate
S Jan 15, 2015 at 16:25 history notice removed ZillGate
Jan 15, 2015 at 16:25 vote accept ZillGate
Jan 14, 2015 at 19:21 history edited ZillGate CC BY-SA 3.0
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Jan 14, 2015 at 18:06 answer added jameselmore timeline score: 1
Jan 14, 2015 at 17:35 comment added ZillGate @jameselmore Based on your comment, I have updated the post. Do you think it reflects your thinking? If you want please also create answer so I could give you the bounty, if there are no better answers. Thanks.
Jan 14, 2015 at 17:34 history edited ZillGate CC BY-SA 3.0
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Jan 14, 2015 at 17:13 comment added ZillGate @Batman Could you please provide more explanation regarding your comment? Thank you!
Jan 14, 2015 at 16:51 comment added jameselmore Also, the likelihood of a sick goalie may in fact be related to the overall probability of a win. If the USA team wins more frequently than others it may be due to the fact that their goalie never gets sick.
Jan 14, 2015 at 15:58 comment added Batman Thinking things are independent and knowing they are are two different matters.
Jan 14, 2015 at 15:47 history edited ZillGate CC BY-SA 3.0
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Jan 14, 2015 at 15:45 comment added ZillGate @jameselmore Yes. I will change 'USA Soccer Team is Good' to 'USA wins world cup'. So the probability in Bayesian interpretation represents one's belief on this event. And one can use this belief to make soccer betting, for example.
Jan 14, 2015 at 15:37 comment added jameselmore I fail to see how 'USA Soccer Team is Good' makes more quantifiable sense than 'Goal Keeper is Sick'. In fact, I'd argue that 'Goal Keeper is Sick' is a more quantifiable event (boolean) than the other which appears very qualitative.
S Jan 14, 2015 at 15:16 history bounty started ZillGate
S Jan 14, 2015 at 15:16 history notice added ZillGate Draw attention
Jan 10, 2015 at 15:32 review First posts
Jan 10, 2015 at 15:32
Jan 10, 2015 at 15:31 history asked ZillGate CC BY-SA 3.0