Advanced Topics in Probability and Stochastic Processes

A solved assignment covering advanced concepts in probability and stochastic processes.

Ethan Wilson
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Advanced Topics in Probability and Stochastic Processes
1. Linear Transformations of Normal Random Variables are also Normal
( )
( ) ( )
( ) ( ) ( )
( ) ( )
( )
( )
2
2
2
2
2
2
2
Let ~ , and ,
1 1
The p.d.f of , exp , , 0.
22
1 1
The c.d.f of , exp 22
Let
The c.d.f of ,
1 1
exp 22
X
x
X
Y
X N a b
X f x x x
X F x P X x t dt
Y aX b
Y F y P Y y
P aX b y
y b
P X a
t
 










−


= −   


= =

= +
=
= +

=


=

( )
2
2 2
2 2
1 1
exp 22
Therefore, has also normal distribution with parameters , .
y b
a
t
dt
y a b dy
aa
Y a b a





−
−




= +

+

( )
( ) ( )
( ) ( )
32 9 5
32 9 5 32 9 5 15 32 27 59
9 5 9 5 5 9
Therefore, the temperature in also follows normal distribution with mean 59 and SD 9.
o o
o o
o o
F C
F C
o
F C
F



= +
= + = + = + =
= = =
2. Moment-generating function of the normal( )
( )

( )



( )




( )


2
2
22
2 2
22
2
Let ~ 0,1
1
The p.d.f of , exp 2 , .
2
The m.g.f of , exp
1
exp exp 2
2
1
exp 2 exp 2
2
Since exp exp 2 exp 2
exp 2 exp 2
exp 2
Z
Z
X N
Z f z z z
Z M t E tZ
tz z dz
t z t dz
tz z z tz
t z t
t




−

−

= −   
=
=
=
+ = +

= +

=

( )

21
Since exp 2 1
2 z t dz


−

=

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Subject
Mathematics

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