12. slides
TRANSCRIPT
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M u l t i v a r i a t e D i s t r i b u t i o n s
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L i m i t T h e o r e m s 1 - 1
L i m i t T h e o r e m s
C e n t r a l L i m i t T h e o r e m d e s c r i b e s t h e ( a s y m p t o t i c ) b e h a v i o u r o f
s a m p l e m e a n
X
1
, X2
, . . . , Xn
, i . i . d w i t h X
i
(, )
n ( x ) N
p
(0 , ) f o r n .T h e C L T c a n b e e a s i l y a p p l i e d f o r t e s t i n g .
N o r m a l d i s t r i b u t i o n p l a y s a c e n t r a l r o l e i n s t a t i s t i c s .
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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Asymptotic Distribution, N=5
-3 -2 -1 0 1 2 3
1000 Random. Samples
0
0.1
0.2
0.3
0.4
EstimatedandNormalDensity
Asymptotic Distribution, N=35
-2 0 2
1000 Random. Samples
0
0.1
0.2
0.3
0.4
EstimatedandNormalDensity
T h e C L T f o r B e r n o u l l i d i s t r i b u t e d r a n d o m v a r i a b l e s . S a m p l e s i z e
n = 5 ( l e f t ) a n d n = 3 5 ( r i g h t ) .
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T h e C L T i n t h e t w o - d i m e n s i o n a l c a s e . S a m p l e s i z e n
=5 ( l e f t ) a n d
n = 8 5 ( r i g h t ) .
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L i m i t T h e o r e m s 1 - 4
a c o n s i s t e n t e s t i m a t o r o f : P .x i s a s y m p t o t i c a l l y n o r m a l :
n
1
2 ( x ) Np
( 0 ,p
)
C o n d e n c e i n t e r v a l f o r ( u n i v a r i a t e ) m e a n
X
i
N
(, 2 )
n
x
N
(0
,1
)
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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L i m i t T h e o r e m s 1 - 5
D e n e u
1 /2 a s t h e 1 /2 q u a n t i l e o f t h e N (0 , 1 ) d i s t r i b u t i o n .T h e n w e g e t t h e f o l l o w i n g 1
c o n d e n c e i n t e r v a l :
C
1 = x n
u
1 /2 ,x
+ n
u
1 /2 P ( C
1 ) 1 f o r n .
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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EDF and CDF, n=100
-2 -1 0 1 2
x
0
0.
5
1
edf(x),cdf(x)
T h e s t a n d a r d n o r m a l c d f a n d t h e e m p i r i c a l d i s t r i b u t i o n f u n c t i o n f o r
n=
1 0 0 .
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EDF and CDF, n=1000
-2 0 2
x
0
0.
5
1
edf(x),cdf(x)
T h e s t a n d a r d n o r m a l c d f a n d t h e e m p i r i c a l d i s t r i b u t i o n f u n c t i o n f o r
n=
1 0 0 0
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L i m i t T h e o r e m s 1 - 8
B o o t s t r a p c o n d e n c e i n t e r v a l s
E m p i r i c a l d i s t r i b u t i o n f u n c t i o n
e d f F
n
=n
1
n
i
=1 I ( x i x )X
i
F
X i F n
x
= m e a n o f b o o t s t r a p s a m p l e
s u p
u P
n(
x
x
)
< u
P
n(
x )
< u
a . s .
0
C o n s t r u c t i o n o f C o n d e n c e I n t e r v a l s p o s s i b l e ! T h e u n k n o w n
d i s t r i b u t i o n o f x c a n b e a p p r o x i m a t e d b y t h e k n o w n d i s t r i b u t i o n o f
x
.
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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EDF and 2 bootstrap EDFs, n=100
-2 -1 0 1 2 3
x
0
0.5
1
edfs{1..
3}(x)
T h e c d f F
n
a n d t w o b o o t s t r a p c d f ` s F
n
.
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L i m i t T h e o r e m s 1 - 1 0
T r a n s f o r m a t i o n o f S t a t i s t i c s
I f
n ( t ) N
p
( 0 , ) a n d i f f = ( f1
, . . . , fq
) : p qa r e r e a l v a l u e d f u n c t i o n s w h i c h a r e d i e r e n t i a b l e a t p , t h e n f ( t ) i s a s y m p t o t i c a l l y n o r m a l w i t h m e a n f () a n d c o v a r i a n c e
, i . e . ,
n{
f(
t)
f()}
N
q
(0
, )f o r n
,
w h e r e
= f j
t
i
(t
)t
=
( p q ) m a t r i x o f a l l p a r t i a l d e r i v a t i v e s .M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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L i m i t T h e o r e m s 1 - 1 1
S u p p o s e
p = 2 , {Xi
} ni
=1 (, ); = 00
, = 1 0 . 50
.5 1
.W e h a v e b y C L T f o r n
n ( x ) N ( 0 , ).
T h e d i s t r i b u t i o n o f
x
2
1
x
2
x
1
+ 3 x2
? T h i s m e a n s t o c o n s i d e r
f
= (f
1
,f
2
)
w i t h
f
1
(x
1
,x
2
) =x
2
1
x
2
,f
2
(x
1
,x
2
) =x
1
+3 x
2
,q
=2
.
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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L i m i t T h e o r e m s 1 - 1 2
T h e n f () =(
0
0
)a n d
= ( d i j ), d i j = f jx
i
x
== 2 x 1 1
1 3
x
=0
= 0 11 3
.W e h a v e t h e c o v a r i a n c e
0 11 3
1 121
2
1
0 11 3
= 1 72 72
1 3
.
T h i s y i e l d s
n
x
2
1
x
2
x
1
+ 3 x2
N
2
0
0
,
1 7
2
72
1 3
.
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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7/27/2019 12. Slides
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H e a v y - T a i l e d D i s t r i b u t i o n s 2 - 1
H e a v y - T a i l e d D i s t r i b u t i o n s
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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H e a v y - T a i l e d D i s t r i b u t i o n s 2 - 2
H e a v y - T a i l e d D i s t r i b u t i o n s
6 4 2 0 2 4 60.0
0.1
0.2
0.3
0.4
X
Y
2f 1f 1f 2f
q
q
Gaussy
Cauchy
Distribution Comparison
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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H e a v y - T a i l e d D i s t r i b u t i o n s 2 - 4
S t u d e n t ' s t - d i s t r i b u t i o n
L e t X b e a n o r m a l l y d i s t r i b u t e d r a n d o m v a r i a b l e w i t h m e a n a n d
v a r i a n c e 2
, a n d Y b e t h e r a n d o m v a r i a b l e s u c h t h a t Y
2 / 2h a s a
c h i - s q u a r e d i s t r i b u t i o n w i t h n d e g r e e s o f f r e e d o m . A s s u m e t h a t X
a n d Y a r e i n d e p e n d e n t , t h e n
t
d e f
=X
n
Y
i s d i s t r i b u t e d a s S t u d e n t ' s t w i t h n d e g r e e s o f f r e e d o m .
M V A : H u m b o l d t U n i v e r s i t t z u B e r l i n
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H e a v y - T a i l e d D i s t r i b u t i o n s 2 - 5
S t u d e n t ' s t - d i s t r i b u t i o n
T h e t - d i s t r i b u t i o n h a s t h e f o l l o w i n g d e n s i t y f u n c t i o n
f
t
(x
;n
) =
n
+12
n n2
1 + x2
n n +1
2
w h e r e n i s t h e n u m b e r o f d e g r e e s o f f r e e d o m ,