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S Dec 30, 2014 at 9:11 history bounty ended CommunityBot
S Dec 30, 2014 at 9:11 history notice removed CommunityBot
Dec 28, 2014 at 3:41 answer added jayk timeline score: 2
Dec 27, 2014 at 23:26 vote accept Constantin
Dec 27, 2014 at 22:39 history edited Constantin CC BY-SA 3.0
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Dec 27, 2014 at 19:50 comment added Constantin Can't I use an uninformative prior?
Dec 23, 2014 at 9:29 answer added Andy Jones timeline score: 6
Dec 22, 2014 at 20:02 comment added StasK If you want to argue that Bayesian approach is more applicable to small samples of size $n=1$, then it is inevitable that prior will speak way too loudly with such a sample.
Dec 22, 2014 at 19:55 history edited Constantin CC BY-SA 3.0
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Dec 22, 2014 at 19:08 comment added Constantin I'm looking for evidence in support of my assumption that the event examined has an influence on the stock price (in which case the $CAR$ is different from zero, because it is computed during the event window, relative to the normal return, which is computed for the reference period before the event). I am interested in whether the data supports the hypothesis that there is indeed a non-zero $CAR$ and also in its magnitude. I realise statistical significance isn't really a thing in Bayesian statistics but what interpretation does this method offer? Can I apply a hypothesis testing equivalent?
Dec 22, 2014 at 12:34 comment added Andy Jones (1.) is simple: use Bayesian linear regression. (2.) is more tricky, because significance testing isn't a Bayesian thing. The only thing you can do is compare the probability of different models, and $\text{CAR} = 0$ isn't the basis of a model because $\text{CAR}$ isn't a model parameter. What's the purpose of the $\text{CAR}$? What decisions are made based on it?
Dec 22, 2014 at 9:55 history tweeted twitter.com/#!/StackStats/status/546967327372496897
S Dec 22, 2014 at 7:28 history bounty started Constantin
S Dec 22, 2014 at 7:28 history notice added Constantin Draw attention
Dec 19, 2014 at 10:27 history asked Constantin CC BY-SA 3.0