关于算法:MTH2222-数学算法

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MTH2222 Mathematics of Uncertainty
Sem 1, 2022
Assignment 2
Due onTuesday May 3rd by 5 pm. Submission via Moodle using folderAssignment-

  1. MTH2222 students work is assessed on questions 1,2,3,4,5,6. MTH2225 students
    work is assessed on questions 2,3,4,5,6,7.
  2. The goal of this problem is to show the following. If X and Y are normally
    distributed and are uncorrelated, then they might still be dependent! Sup-
    pose that X is a standard normal distributions. Let ξ be a random variable,
    independent of X, which takes values in {?1, 1}, each with probability 1/2.
    (a) Find the distribution of Y = ξX. [2 marks]
    (b) Are X and Y independent? Justify your answer. [3 marks]
    (c) Are X and Y correlated?Justify your answer. [3 marks]
    (d) Is (X, Y) bivariate normal? Justify your answer. [2 marks]
    [10 marks]
  3. Suppose that X1, X2 are independent geometric with parameter p, where
    p ∈ (0, 1/2]. Find the p which maximises the probability of the event X1 = X2.
    [4 marks]
  4. Let X be a Poisson with parameter 1. Prove (step by step) that
    P(X < 4) =
    ∫ ∞
    1
    1
    6
    x3e?xdx.
    [4 marks]
  5. Let X be a random variable with MGF
    MX(t) = θ
    teθt
    2
    ,
    for some parameter θ > 0. Find P(X > ln θ). [4 marks]
  6. Find the constant c such that
    f(x) = ce?x?e
    ?x
    , with x ∈ IR
    is a probability density function. [4 marks]
  7. Let p1 < p2 < p3 . . . be the prime numbers, i.e. natural numbers which are
    not the product of two smaller natural numbers (1 is not prime with this
    definition). For all i ∈ IN, let γi = p?2i , and Xi be a random variable taking
    values on {0, 1, 2, . . .}, such that
    P(Xi = k) = (1? γi)γki .
    Assume (Xi)i are independent. Let M =
    ∏∞
    i=1 p
    Xi
    i . Find the p.m.f. of M . You
    might need that
    ∑∞
    k=1 k2 = pi2/6 and that each natural number has a unique
    decomposition in terms of products of primes.
    [6 marks]
  8. For MTH2225 Students only. Let (Sn)n be a simple random walk. Find
    the (approximate) probability
    P(S10000 ≥ 100).
    [4 marks]

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