In a sequence of consecutive years 1, 2,...,T an annual number of bankruptcies are recorded by the central bank. The random counts N; , i = 1,2,...,T of bankruptcies in a given year are modeled using a Poisson(A) distribution and can be assumed independent from year to year. The central bank has collected data for the past six years and recorded the following counts: 2, 1, 1, 0, 2, 3. The prior on A is a Gamma(4, 4). Determine the posterior distribution h(A|N). Note: You may use that for a known a >0 and B > 0, the Gamma(a, B) density is given by: f(r; a, 3) = x> 0, %3D T(@)3a where Gamma(a) = e** da is the gamma function. Also, if X is distributed Gamma(a, B) then E(X) = aß and Var(X) = a8?. %3D Gamma ( 12, 10 Gamma 13 (뉴) Gamma Gamma ( 13, 10 1 Gamma( 10, 13

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Chapter2: Second-order Linear Odes
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b)
The central bank (from part (a)) claims that the intensity is less than 2. The central bank would like
to test the claim via Bayesian testing with a zero-one loss. Determine the value of the posterior
probability required to perform this hypothesis test. Give your answer to 2 decimal places.
You might want to use the following:
r(n) = (n – 1)!
and
12e
-10z
dz
0.000046
%3D
Transcribed Image Text:b) The central bank (from part (a)) claims that the intensity is less than 2. The central bank would like to test the claim via Bayesian testing with a zero-one loss. Determine the value of the posterior probability required to perform this hypothesis test. Give your answer to 2 decimal places. You might want to use the following: r(n) = (n – 1)! and 12e -10z dz 0.000046 %3D
Q1 a & b
a)
In a sequence of consecutive years 1, 2,...,T an annual number of bankruptcies are recorded by
the central bank. The random counts N , i = 1, 2,...,T of bankruptcies in a given year are
modeled using a Poisson(A) distribution and can be assumed independent from year to year. The
central bank has collected data for the past six years and recorded the following counts:
2, 1, 1,0, 2, 3.
The prior on A is a Gamma(4, ). Determine the posterior distribution h(A|N).
Note: You may use that for a known a>0 and B> 0, the Gamma(a, B) density is given by:
ei pa-1
f(r; a, 3) =
r > 0,
T(a)3a
where
Gamma(a) = |
ea-1 dr
is the gamma function. Also, if X is distributed Gamma(a, 8) then
E(X) = aß
and
Var(X) = aߺ.
%3D
%3D
(12.t5)
Gamma ( 12,
Gamma
10
13
(금,13)
Gamma
Gamma ( 13,
10
Gamma ( 10,
13
Transcribed Image Text:Q1 a & b a) In a sequence of consecutive years 1, 2,...,T an annual number of bankruptcies are recorded by the central bank. The random counts N , i = 1, 2,...,T of bankruptcies in a given year are modeled using a Poisson(A) distribution and can be assumed independent from year to year. The central bank has collected data for the past six years and recorded the following counts: 2, 1, 1,0, 2, 3. The prior on A is a Gamma(4, ). Determine the posterior distribution h(A|N). Note: You may use that for a known a>0 and B> 0, the Gamma(a, B) density is given by: ei pa-1 f(r; a, 3) = r > 0, T(a)3a where Gamma(a) = | ea-1 dr is the gamma function. Also, if X is distributed Gamma(a, 8) then E(X) = aß and Var(X) = aߺ. %3D %3D (12.t5) Gamma ( 12, Gamma 10 13 (금,13) Gamma Gamma ( 13, 10 Gamma ( 10, 13
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