5.21 Given a probability space (S,F,P) and a random variable X. Let A be a sub-o-field of F, and consider  = E (X | A). (i) Show that E ((X – Â)Y) = 0 if Y is an A-measurable random vari- able. (ii) Let Y run over all A-measurable random variables. Show that the squared error E ((X – Y)²) is minimal when Y = X.
5.21 Given a probability space (S,F,P) and a random variable X. Let A be a sub-o-field of F, and consider  = E (X | A). (i) Show that E ((X – Â)Y) = 0 if Y is an A-measurable random vari- able. (ii) Let Y run over all A-measurable random variables. Show that the squared error E ((X – Y)²) is minimal when Y = X.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 22CR
Related questions
Question
![5.21 Given a probability space (N, F, P) and a random variable X. Let A
be a sub-o-field of F, and consider Î = E(X | A).
(i) Show that E ((X – Â)Y) = 0 if Y is an A-measurable random vari-
able.
(ii) Let Y run over all A-measurable random variables. Show that the
squared error E ((X – Y)²) is minimal when Y = Â.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0faf5dc4-d969-4993-a288-524f29a0d362%2F6a47cb75-57d5-48bf-a58b-14887b037c79%2Fsvrg57v_processed.png&w=3840&q=75)
Transcribed Image Text:5.21 Given a probability space (N, F, P) and a random variable X. Let A
be a sub-o-field of F, and consider Î = E(X | A).
(i) Show that E ((X – Â)Y) = 0 if Y is an A-measurable random vari-
able.
(ii) Let Y run over all A-measurable random variables. Show that the
squared error E ((X – Y)²) is minimal when Y = Â.
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