Question
A Gaussian density has mean µ and variance σ^2:
p(x|µ, σ) = 1/√(2πσ^2)exp (−(x − µ)^2/2σ^2)
If y = (x − µ)^2
a) What is the density function of y?
b) What value of y has highest density?
p(x|µ, σ) = 1/√(2πσ^2)exp (−(x − µ)^2/2σ^2)
If y = (x − µ)^2
a) What is the density function of y?
b) What value of y has highest density?
Answers
Related Questions
Let X be a single (i.e. n=1 ) Gaussian random variable with unknown mean μ and variance 1 . Co...
Let X~N(2,2) i.e.X is a Gaussian variable with mean=2 and variance=2. Let x>0.
Write P(X>= -x) in...
Gaussian Mixture Model and EM Algorithm
Which of the following statements are true. Assume we have...
×
Gaussian Mixture Model and EM Algorithm
Which of the following statements are true. Assume we ha...