作者fei6409 (fei6409)
看板NTU-Exam
标题[试题] 100下 林守德 机率 期末考
时间Mon Jun 18 18:04:29 2012
课程名称︰机率
课程性质︰系必修
课程教师︰林守德
开课学院:电资学院
开课系所︰资工系
考试日期(年月日)︰2012/6/18
考试时限(分钟):180 mins
是否需发放奖励金:是
(如未明确表示,则不予发放)
试题 :
Probability 2012 Final Exam (Prof.Shou-de Lin)
6/18/12 14:30-17:30pm
Total Points: 120
You can answer in either Chinese or Enflish
1. Please briefly describe the following concepeoremts. (16pts)
(a) Law of large number
(b) n-gram language model
(c) Noisy channel model
(d) Central Limit Theorem
2. Alice and Bob are communicating through a secret but unreliable channel.
Now, Bob has received a sequence of digits: 1x435y2123zab12312456512c2412315d.
There are some missing values marked with alphabet. Can you design a method,
using the techniques taught in our probability class to estimate the missing
value? (8pts)
3. In retrieval problem, assuming we only care about the ranking not the
absolute score between a document and a query. Suppose we have Q as the
normalized query vector of elngth k(e.g. (0.2, 0.3, 0.1, 0.4)) and documents
(D1 to Di), each is the normalized i-th document vector of same length k. We
want to rank the documents based on its similarity to the query using KL
divergence and corss entropy(see the bottom for definition), please prove
that the rankings of documents given query based on these two metrics are
identical. (10pts)
4. Let U and V be two independent uniformly distributed random variables in
the region [-10, 10]. Find the probability that the equation x^2+2Ux+V^2 have
real roots? (6pts)
5. 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). (10 pts)
6. Let X be a discrete random variable and Y is a function of X. For each of
the following case, please answer whether H(X) or H(Y) is larger. (8pts)
(a) Y = (X-2)^2 + 3 (4 pts)
(b) Y = tanX (4 pts)
7. 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=15 pts)
(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?
8. A dog walks on the integers, possibly reversing direction at each step with
probability p = 0.1. Let Xi be the ith position of the dog, and X0 = 0(starts
at origin). The first step is equally likely to be positive or negative. For
example, a walk might look like this: (X0, X1, X2, ...) = (0, -1, -2, -3, -4,
-3, -2, -1, 0, 1). In this example the dog reverses its direction after X4.
(15pts)
(a)Find H(X0, X1, X2, ... Xn) (hint: chain rule, 10 pts)
(b)What is the expected number of steps the dog takes before reversing
direction? (5 pts)
9. (Revisit Midterm II) Let X~N(μ,σ^2), a lognormal distribution is Y:
log(Y)~X. What is the mean and variance of Y? (8 pts)
10. A statistic department at a large university maintains at tutoring service
for students. The hypothesis is that 40% of the students that using this
service would be from business department, 30% from engineering department,
20% from social science department and 10% from agriculture. A random sample
of 120 students revealed that 52, 38, 21, 9 students were from each department,
respectively. Using Chi-square test to check whether the sampling results
follow the hypothesis with α=0.05 (10pts)
11. For each problem below, show that it is TRUE or FALSE. If it is true,
prove it. Otherwise, give an example. U and V are independent random variables.
Let X=f(U) and Y=f(U)+V. Then, (14pts)
(a) If f is an one-to-one function, is it true that I(X;Y)=I(U;Y)?
(b) If f is an many-to-one function, is it true that I(X;Y)=I(U;Y)?
Appendix:
Exponential Distribution
Normal Distribution
Cross entropy: H(p, q) = -Σx p(x)log(q(x))
KL divergence: DKL(P||Q) = Σi P(i)ln(P(i)/Q(i))
Chi-square table
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