koreko theoryassignment .pdf
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Theoretical Assignment DeepBayes Summer School
April 8, 2019
The random variable ξ has Poisson distribution with the parameter λ. If ξ = k we perform k
Bernoulli trials with the probability of success p. Let us define the random variable η as the
number of successful outcomes of Bernoulli trials. Prove that η has Poisson distribution with
the parameter pλ.
where bi ∼ Ber(p) and ξ ∼ Poi(λ).
As everything is (assumed) independent, conditioned on ξ = n, η ∼ B(n,p) =⇒
ξ is Poisson-distributed,
It follows that η is Poisson-distributed with parameter pλ.
A strict reviewer needs t1 minutes to check assigned application to DeepBayes summer
school, where t1 has normal distribution with parameters µ1 = 30, σ1 = 10. While a kind
reviewer needs t2 minutes to check an application, where t2 has normal distribution with
parameters µ2 = 20, σ2 = 5. For each application the reviewer is randomly selected with 0.5
probability. Given that the time of review t = 10, calculate the conditional probability that
the application was checked by a kind reviewer.
It is given that p(r=strict) = p(r=kind) = 0.5, p(t|r = strict) ∼ N(30,10) and p(t|r = kind) ∼
When calculating normal pdf densities, in both cases
It follows that the probability the application was reviewed by kind reviewer is .
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