作者danielu0601 (黒猫.俺の嫁)
看板NTU-Exam
標題[試題] 101下 林守德 機率 期末考
時間Wed Jul 3 16:18:52 2013
課程名稱︰機率
課程性質︰必修
課程教師︰林守德
開課學院:電機資訊學院
開課系所︰資訊工程學系
考試日期(年月日)︰2013/06/17
考試時限(分鐘):180
是否需發放獎勵金:是
(如未明確表示,則不予發放)
試題 :
Probability 2013 Final (Prof. Shou-de Lin)
6/17/2013 14:30-17:30
Total Points:120
You can answer in either Chinese or English.
1. Short Answer:
(a) What are PageRank and TFIDF? Why we need both of them to build a good
information retrieval model? (5pts)
(b) draw the Venn Diagram of Entropy and Mutual Information of two random
variables (5pts)
(c) What is noisy channel model? What kind of problem can be solved by it?
(5pts)
(d) Is KL-divergence a good 'distance' measure? If not, how to fix it?(5pts)
2. (revisit midterm II) The probabilities of failure on component 1 (follow
Poisson of probability λ1=4) and component 2 (follow Poisson of probability
λ2=5) of a product are independent. We observe 3 product failures, what is
the probability that two of them come from component 1? (6pts)
3. (revisit midterm II) Let X and Y be two independent random points from the
interval (0,1). Calculate the CDF of min(X,Y)/max(X,Y) (8pts)
4. (revisit midterm II) Let {X1, X2,...,Xn} be a sequence of Gamma random
variables with parameter α1, α2,...,αn and identical θ. Find the
distribution function of ΣiXi (hint: the mgf of Gamma(α, θ) is
(1-θt)^-α) (8pts)
5. (revisit midterm II) A point (X,Y) is selected randomly from the triangle
with vertices (0, 0), (1, 1) ad (1, 0). Calculate E(X|Y=y) (6pts)
6. In the class, we have discussed the n-gram language model. Indeed there is
a tradeoff in determining n: larger n allows us to model the longer-distance
dependency among words without significantly increasing the storage size?
(10pts)
7. Let X be a discrete random variable. Show that the entropy of a function of
X is less than or equal to the entropy of X. (8pts)
8. A playoff consists of a three-game series that terminates as soon as either
team wins two games. Let X be the random variable that represents the outcome
of a playoff between teams A and B; examples of possible values of X are AA,
and BAB. Let Y be the number of games played, which ranges from 2 to 3.
(a) Assuming that A and B are equally matched and that the games are
independent, calculate H(X), H(Y), H(Y|X), and H(X|Y) (10pts)
(b) Let Z denote the winning team. Find H(X|Z) (5pts)
9. A certain geneticist is interested in the proportion of males and females in
the population that have a certain minor blood disorder. In a random sample
of 1000 males, 250 are found to be afflicted, whereas 275 of 1000 females
tested appear to have the disorder. Compute a 95% confidence interval for
the difference between the proportion of males and females that have the
blood disorder.
(hint: the variance of binomial is np(1-p)) (8pts)
10.Suppose that X and Y are independent exponential random variables with
parameter λ, and let Z = X/(X+Y), show that Z is a uniform distribution
over (0,1) (8pts)
11.A simple random sample of 1000 eligible voters was chosen to study the
relationship between sex and participation in an election. The results are
summarized in the following table (8pts):
Men Women
Vote 260 360
Didn't vote 140 240
12.Let {X1, X2,...,Xn} are integers, generated by random round-off sampling from
a uniform distribution U[0, b], Now we want to estimate the parameters b,
this is known as German tank problem in WWII. (Sample are the German tank
serial numbers spot by the Allies, and we want to estimate total number of
tanks German has) (5*3=15pts)
a. Find the estimation of parameters b using Maximum Likelihood Estimation.
b. Find the estimation of parameters b using Method of Moments.
c. What are the potential concerns for each of the estimation?
Reference
KL divergence: 略
Poisson distribution: 略
Chi-square table: 略
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