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1. (Hint: This pmf should look familiar) Random variables X and Y have joint probability mass...
Random variables X and Y have joint probability mass function (PMF):
Random variables \(X\) and \(Y\) have joint probability mass function (PMF):\(P_{X, Y}\left(x_{k}, y_{j}\right)=P\left(X=x_{k}, Y=y_{j}\right)= \begin{cases}\frac{1}{20}\left|x_{k}+y_{j}\right|, & x_{k}=-1,0,1 ; y_{j}=-3,0,3 \\ 0, & \text { otherwise }\end{cases}\)(a) Find \(F_{X, Y}(x, y)\), the joint cumulative distribution function (CDF) of \(X\) and \(Y\). A graphical representation is sufficient: probably the best way to do this is to draw the \(x-y\) plane and label different regions with the value of \(F_{X, Y}(x, y)\) in that region.(b) Let \(Z=X^{2}+Y^{2}\). Find the probability mass function (PMF)...
6. (20%) Consider two random variables X and Y with the joint PMF given in Table...
6. (20%) Consider two random variables X and Y with the joint PMF given in Table 2. Table 2: Joint PMF of X and Y Y =0Y 1 X 0 X 1 0 (a) (5%) Find the PMF of X and PMF of Y. (b) (5%) Find EX, EY, Var(X), Var(Y (c) (10%)Find the MMSE estimator of X given Y, (M) for both Y 0 and Y 1
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table...
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
asap plz The joint probability density function of random variables X and Y is given by,...
asap plz
The joint probability density function of random variables X and Y is given by, otherwise a. Find k b. Find the best (non-linear) minimum mean squared error (MMSE) estimator for Y given X-r. 20]
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you...
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you have measured Xx 0.5. Find the maximum a posteriori (MAP)estimate of y given Y0.5. (c) Suppose that you have measured X = 0.5. Find the minimum mean squared estimator (MMSE) estimate of Y given X = 0.5....
Assume that X and Y are discrete random variables having the joint pmf given by the...
Assume that X and Y are discrete random variables having the joint pmf given by the following chart Y 0 1 2 0 0.1 0.1 0.3 X 1 0.3 0.1 0.1 a. Find the probability that Y is greater than X. b. Find the covariance between X and Y.
4. The random variables X and Y have joint probability density function fx,y(x, ) given by: fx,y(...
4. The random variables X and Y have joint probability density function fx,y(x, ) given by: fx,y(x, y) 0, else (a) Find c. (b) Find fx(x) and fy (), the marginal probability density functions of X and Y, respectively (c) Find fxjy (xly), the conditional probability density function of X given Y. For your limits (which you should not forget!), put y between constant bounds and then give the limits for in terms of y. (d) Are X and Y...
1) Suppose that three random variables, X, Y, and Z have a continuous joint probability density...
1) Suppose that three random variables, X, Y, and Z have a continuous joint probability density function f(x, y. z) elsewhere a) Determine the value of the constant b) Find the marginal joint p. d. fof X and Y, namely f(x, y) (3 Points) c) Using part b), compute the conditional probability of Z given X and Y. That is, find f (Z I x y) d) Using the result from part c), compute P(Z<0.5 x - 3 Points) 2...
7. The random variables X and Y have joint probability density function f given by 1...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
7. The random variables X and Y have joint probability density function f given by 1...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
6. (20%) Consider two random variables X and Y with the joint PMF given in Table 2. Table 2: Joint PMF of X and Y Y =0Y 1 X 0 X 1 0 (a) (5%) Find the PMF of X and PMF of Y. (b) (5%) Find EX, EY, Var(X), Var(Y (c) (10%)Find the MMSE estimator of X given Y, (M) for both Y 0 and Y 1
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
asap plz
The joint probability density function of random variables X and Y is given by, otherwise a. Find k b. Find the best (non-linear) minimum mean squared error (MMSE) estimator for Y given X-r. 20]
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you have measured Xx 0.5. Find the maximum a posteriori (MAP)estimate of y given Y0.5. (c) Suppose that you have measured X = 0.5. Find the minimum mean squared estimator (MMSE) estimate of Y given X = 0.5....
4. The random variables X and Y have joint probability density function fx,y(x, ) given by: fx,y(x, y) 0, else (a) Find c. (b) Find fx(x) and fy (), the marginal probability density functions of X and Y, respectively (c) Find fxjy (xly), the conditional probability density function of X given Y. For your limits (which you should not forget!), put y between constant bounds and then give the limits for in terms of y. (d) Are X and Y...
1) Suppose that three random variables, X, Y, and Z have a continuous joint probability density function f(x, y. z) elsewhere a) Determine the value of the constant b) Find the marginal joint p. d. fof X and Y, namely f(x, y) (3 Points) c) Using part b), compute the conditional probability of Z given X and Y. That is, find f (Z I x y) d) Using the result from part c), compute P(Z<0.5 x - 3 Points) 2...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
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