This PDF 1.5 document has been generated by Microsoft® Word 2013, and has been sent on pdf-archive.com on 08/04/2019 at 15:13, from IP address 185.18.x.x.
The current document download page has been viewed 311 times.
File size: 458.62 KB (3 pages).
Privacy: public file
Theoretical Assignment DeepBayes Summer School
2019 (deepbayes.ru)
Koreko E.
April 8, 2019
Problem 1
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.
Solution
Use definition
where bi ∼ Ber(p) and ξ ∼ Poi(λ).
Then
As everything is (assumed) independent, conditioned on ξ = n, η ∼ B(n,p) =⇒
1
ξ is Poisson-distributed,
It follows that η is Poisson-distributed with parameter pλ.
Problem 2
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.
Solution
2
It is given that p(r=strict) = p(r=kind) = 0.5, p(t|r = strict) ∼ N(30,10) and p(t|r = kind) ∼
N(20,5).
When calculating normal pdf densities, in both cases
It follows that the probability the application was reviewed by kind reviewer is .
3
koreko_theoryassignment.pdf (PDF, 458.62 KB)
Use the permanent link to the download page to share your document on Facebook, Twitter, LinkedIn, or directly with a contact by e-Mail, Messenger, Whatsapp, Line..
Use the short link to share your document on Twitter or by text message (SMS)
Copy the following HTML code to share your document on a Website or Blog