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Estimation of the Number of Change-Points with Local Linear Fit

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2 002 , V ol. 13, N o.2 p p . 251~2 60

E s t im at ion o f t h e N um b e r o f Ch an g e - P oin t s w ith Lo c al Lin e ar F it1 )

Jon g T ae K im2 )・H ey m i Ch oi3 )

A b s tra c t

T h e aim of t his pap er is t o con sider of det ect in g t h e location , th e jum p size an d th e n um b er of ch an g e - poin t s in r eg r es sion fun ct ion s by u sin g t h e local lin ear fit w h ich is on e of n onparam etric r egr es sion t echn iqu e s . It is obt ain ed t h e a sy m pt ot ic propert ie s of t h e ch an g e poin t s an d th e ju m p sizes . an d t h e corr espon din g r at e s of conv erg en ce for ch an g e - p oint est im at or s .

K e y w o rd s : Local lin ear r eg r es sion fit ; Ch an g e - poin t ; K ern el sm ooth er .

1 . 서론

N onp ar am et ric r eg r es sion t ech niqu es ar e g en er ally u sed in or der t o obt ain a sm ooth fit of r eg re s sion fun ction w h en ev er th er e is n o su it able p ar am etric m odel av ailable. S om etim es a g en er ally sm oot h fu n ct ion m ig ht con t ain som e is olat ed discont in uity or m ult iple ch an g e p oint s in t h e fun ct ion or in a deriv at iv e, an d in m an y ca ses int er est focu s es on t h e occurr en ce of su ch ch an g e poin t s . T h e an aly sis of ch an g e poin t s u su ally occu rrin g in econ om ics , en gin eerin g m edicin e an d b iological s cien ces h a s r ecen t ly fou n d in cr ea sin g in t er est .

T h e purp ose of t his paper is t o obt ain a sy m pt ot ic dist ribu tion s an d corr esp on din g r at es of conv erg en ce for ch an g e - poin t estim at or s . T h is r esu lt s is v ery im port an t t o su g g est t h e m et h ods for t est in g an d est im at ion t o det ect th e location an d size of ch an g e - point s in r egr es sion fu n ct ion by u sin g th e local lin ear fit

1. T his paper w as support ed by r es earch fund, T aegu Univer sity , 2002.

2. A s s ociat e Pr ofes s or , Dept of St atistics , T aegu Univ er sit y , 712- 714, Kor ea.

E - m ail: jtkim @daegu .ac.kr

3. St atist ics Depart m ent Cas e W es t ern Res erv e univ er s ity 10900 Euclid Av enue, Clev eland, ohio 44106- 7054, USA ,

E - m ail : heym ichoi @y ahoo.com

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In t h e lit er at ur e, t estin g an d est im ation ab out ch an g es in t h e n onp ar am etric r eg r es sion fun ction h a s b een stu died by m any au th or s . M u ller (1992) g av e e st im at or s for locat ion an d size of ch an g e - poin t s in n on par am et ric r egr es sion b a sed on a com parison of a left an d righ t on e - sided k ern el sm ooth er s . Loar d (1996) pr oposed an estim at e of t h e locat ion of discon tinu it y b a sed on on e - side n on par am et ric r eg r es sion est im at es of th e m ean fun ct ion . Ch en an d Gupt a (1997) stu died t est in g an d locat in g v arian ce ch an g e point s w it h applicat ion t o st ock price u sin g th e S ch w ar z in form ation crit erion .

2 . E s tim at e s o f lo c ati on an d ju m p s iz e o f c h an g e po in t s

T h e n onp ar am etric r egr es sion m odel con sidered in t his paper is giv en by

Yi= m ( xi ) + i, xi [ 0 , 1] , i = 1, 2 , . . . , n , (2.1) w h er e xi are fix ed design p oint s an d i ar e iid error s w it h m ean 0 an d v arian ce

2 < . T h e design p oint s xi ar e a s sum ed t o b e equidist an t , i. e. xi= i / n . m is t h e u nkn ow n regr es sion fun ct ion defin ed on t h e in t erv al [ 0 , 1] .

T h e r eg re s sion est im at or s w e con sider ar e b a sed on t h e local lea st squ are s fitt in g of k ern el w eight ed p oly n om ial r egr es sion fun ction . T h e locally w eigh t ed p oly n om ial r egr es sion est im at or of m is 0 , t h e solut ion for 0 t o m in im ize t h e k ern el w eig ht ed local- lik elih ood fun ct ion

n

i = 1{Yi - l = 0p l( xi - x ) }2 K (xi h- x ). (2.2)

A s su m e th at s om e ch an g e - point s ex ist for m in th e follow in g sen se. T h er e ex ist s g C2( [ 0 , 1]) su ch t h at

m ( ) = g ( ) +

n c

i = 1 i1 ( ci), (2.3)

w h er e ci, n c ar e un kn ow n an d g ( ) h a s a b oun ded secon d deriv ativ e.

Let K + an d K - b e on e - sided k ern el fu n ction s w it h su pport ( K+) [ - 1 , 0 ] an d support ( K - ) [ 0 , 1] . F or sim plicit y , let

l( F ) =

- ylF ( y ) dy . T h e k ern el K - ( ) is ( - 1) tim es different iab le on R an d K -( - 1) is ab solu t ely cont inu ou s den sit y fu n ction sat isfy in g

1( K ) = 3 ( K ) = 0 , 2 ( K ) > 0 , K -( j )( 0) = K -( j )( 1) = 0 , 0 j < , an d K +( x ) = K- ( - x ) . Defin e m+( j )( x0) = lim

x x0m ( j )( x ) , m-( j )( x0) = lim

x x0m ( j )( x ) , j = 0 , 1 , 2 .

( x0) = m+( x0 ) - m- ( x0 ) . (2.4)

(3)

T h en t h e follow in g h old s , for any x0 [ 0 , 1] ,

m+( x0) = m ( x0) , m ( j )= g ( j )( x0) , j = 1 , 2 .

( x0) = {0i if xot h erw is .0= ci, D efin e on e - sided regr es sion estim at e s of m ( x ) ,

m ( x ) = Wj Yj

Wj , (2.5)

w h er e

Wj = (x - xh j )( S n , 2- ( x - xj ) S n , 1) ,

S n l= K (x - xh j )( x - xj )l, l = 0 , 1 , 2 . In fer en ce for ch an g e poin t s w ill b e b a s ed on t h e follow in g estim at es

( x ) = m+ ( x ) - m- ( x ) . (2.6)

w h er e xj is called t o b e a ch an g e poin t if | ( xj) > C , j = 1 , 2 , , n , for s om e con st an t C at a g iv en sig nifican t lev el 1 - w h er e C w ill b e g iv en b elow .

Ob s erv e t h e follow in g b efor e inv e st ig atin g bia s an d v arian ce of ( x ) . P rop o s it i on 2 .1 Defin e S n l= K (x - xh j )( x - xj )l, l = 0 , 1 , 2 . .

( 1) S n l = n hl + 1( K ( u ) uldy + O ( 1/ n ) ) = n h l + 1[ l ( K - ) + O ( 1/ n ) ] .

( 2) Wj = S n , 0S n , 2 - ( S n , 1)2= n2h4 [ 2( K- ) + O ( 1/ n ) ] .

( 3) ( Wj )2= ( S n , 2)2 K2 (x - xh j )+ ( Sn , 1)2 K2 (x - xh j )( x - xj)2

- 2 S n , 1S n , 2 K2 (x - xh j )( x - xj)

= n3h7 [ 20( K 2 ) + O ( 1/ n ) ] .

N ow , w e con sider t h e bia s an d v arian ce of ( x0) , x0 [ h , 1 - h ] in t h e follow in g .

P rop o s it i on 2 .2 A s sum e t h at th e jum p size is ( x0) at poin t x0.

(4)

(1) Bia s : E ( ( x0) - ( x0) ) = o ( h2) .

(2) V arian ce : V ar ( ( x0 ) ) = 2 2

n h ( 0( K-2) + o( 1) ) .

P r o of (1 ).

E [ ( x0 ) - ( x0) ]

= E [ m+ ( x0) - m - ( x0) ]- E [ m+( x0) - m-( x0) ]

= E [ m+ ( x0) - m +( x0) ]- E [ m- ( x0) - m- ( x0) ]

= E Wj+( Yj- m+( x0 ) )

Wj+ - E Wj- ( Yj- m- ( x0) ) Wj-

= 1

n2h4 [ 2( K - ) + O( 1/ n ) ] [ {m ( xj ) - m+( x0) }Wj+ - {m ( xj ) - m- ( x0) }Wj- ]

b y P r op osit ion 2.1- (2). Let n ow b e

R ( xj) = m ( xj ) - m ( x0 ) - ( xj- x0 ) m ' ( x0 ) . S in ce

( xj- x0) Wj = ( xj - x0) K (x - xh j )( S n , 2 - ( x - xj) S n , 1)

= - S n , 2S n , 1 + S n , 2S n , 1= 0 ,

{m ( xj) - m ( x0) } wj = {m ( xj) - m ( x0) - ( xj- x0) m ' ( x0) }wj

an d h en ce w e h av e 1

n R+( xj ) K +(x0- xh j )

= {m ( x ) - m+( x0) - ( x - x0) m+'( x )}K +(x0h- x )dx + O( 1/ n )

= h

0

- 1{m ( x0- h u ) - m+( x0) + h u m+' ( x0)}K +( u ) d u + O( 1/ n )

= h

0

- 1 ( m+( x0) - h u m+' ( x0) + h2u2

2 m+' '( x0) - m+( x0) + h u m+' ( x0) + o( h2u2) ) K +( u ) d u + O( 1/ n )

= h3

2 m+' '( x0) 2( K - ) + o( h3) + O( 1/ n ) .

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1

n R+( xj ) ( x0- xj ) K +(x0- xh j )

= {m ( x ) - m+( x0) - ( x - x0 ) m+'( x ) }( x0- xj ) K +(x0h- x )dx + O( 1/ n )

= h

0

- 1 {m ( x0- h u ) - m+( x0) + h u m+'( x0)}h u K +( u ) d u + O( 1/ n )

= h2

0

- 1( m+( x0) - h u m+'( x0) + h2u2

2 m+' '( x0) - m+ ( x0) + h u m+'( x0) + o( h2u2) ) u K +( u ) d u + O( 1/ n )

= h4

2 m+' '( x0) 3( K +) + o( h4) + O( 1/ n ) .

T hu s it follow s fr om P r oposit ion 2.1- (1), (2) an d (3 ) t h at ( m ( xj ) - m+( x0) ) Wj+ = R+( xj) Wj+ = n2h6

2 [m +' '( x0) 22( K - ) + o( 1) ].

S im ilarly , ( m ( xj) - m- ( x0) ) Wj- = n2h6

2 [ m+' '( x0) 22( K- ) + o( 1) ] . T h er efor e

E ( ( x0 ) - ( x0 ) ) = 1

n2h4 { 2( K - ) + O ( 1/ n ) }( R+( xj ) Wj+ - R- ( xj) Wj- )

= o( h2) .

P r o of (2 ). F ir st , n ot e t h at C ov ( m+ ( x0) , m- ( x0) ) = 0 sin ce j' s ar e in dep en den t an d ( j : - 1 ( x0- xj ) / h < 0 ) an d ( j : 0 ( x0- xj ) / h < 1 ) are disj oin t . T hu s , V ar ( ( x0) ) = V ar ( m+ ( x0) ) + V ar ( m- ( x0) ) . S in ce it n ow follow s fr om P r op osit ion 2.1- (2) an d (3 ) th at

V ar ( m ( x0) ) =

2 ( Wj )2

( Wj )2 =

2

n h [ 0( K 2 ) + o( 1) ] , V ar ( ( x0) ) = 2 2

n h ( 0( K -2) + o( 1) ) .

3 . M ain Re s ult s

In t his s ect ion , w e con sider t h e a sy m pt ot ic dist ribu t ion s an d corr espon din g rat es of con v er g en ce for ch an g e - point est im at or s .

L e m m a 3 .1 . F or fix ed x0 ( 0 , 1) a s n , h 0 in su ch a w ay th at n h

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C K n ( x0 ) ( x0 ) - ( x0 )

n Vn N ( 0 , 1) , (3.1)

w h er e n is a con sist en t e st im at e of an d

Vn = ( Wj- )2/ ( Wj- )2 + ( Wj- )2 / ( Wj- )2. In addition ,

n h ( ( x0 ) - ( x0 ) )

n 2 0( K -2)

d N ( 0 , 1) . (3.2)

P r o of . F or sim plicit y , let aj den ot e aj = Wj+/ Wj+ - Wj- / Wj- . T h en

j aj2= Vn an d h en ce C Kn can b e r ew rit t en a s

j aj j / n

2

j aj2. S in ce it is sh ow n th at n2 2, it is su fficien t t o pr ov e (3.1) w ith r espect t o CKn w ith in place of n . It follow s , in P r oposition 2.1- (2) an d (3 ), t h at m ax 1 j n

aj2 aj2

= O( 1

n h ) an d h en ce Lin db er g ' s con dit ion is s at isfied. T h erefor e

a sy m pt ot ic n orm alit y of CK n follow s . S in ce

aj2 = 2 0( K-2) / ( n h) + o( 1/ ( n h) ) , th e equ at ion (3.2) follow s .

Let den ot e a locat ion of a ch an g e poin t of m ( x ) . A s sum e t h at w e kn ow A is a clos ed n eig hb orh ood of in w hich is on ly on e ch an g e point of m ( x ) . D efin e t h e e st im at or

= in f{ A : ( ) = su p x A ( x ) }

for t h e locat ion of a ch an g e p oint . N ow , w e in v est ig at e lim itin g pr opert ies of . In or der t o do th at defin e

( y ) = ( + y h ) = m+ ( + y h ) - m- ( + y h )

an d defin e for som e 0 < M < , - M z M , th e sequ en ce of st och a stic pr oces ses

n( z ) = ( n h ) ( + 1) / ( 2 )

( (( n h )z1/ ( 2 ) )- ( 0 )).

N ot e t h at

K (x - xh j )m ( xj ) Sn , 2 = n2h4 2( K - ) K ( u ) m ( x - h u ) d u + O( n h4) , K (x - xh j )( x - xj ) m ( xj ) S n , 1 = O ( n h4 ) .

(7)

T hu s w e h av e E { m ( + y h) } = K ( u ) m ( + y h - u h) d u + O ( 1/ n ) an d h en ce

E { ( y ) } =

1

- 1( K +( u ) - K - ( u ) ) g ( + y h - u h) d u + O( 1/ n ) ,

w h ich is t h e sam e a s t h e equ ation (6.2) of M uller (1992). T h er efor e follow in g t h e s am e t echn iqu e s u s ed b elow (6.2) of Lem m a 6.1 in M u ller giv es

E n( z ) = - z + 1K - ( 0) / ( + 1) ! + o( 1) .

N ow , w e con sider cov arian ce of n( z ) . F ir st , let = ( + 1) / ( 2 ) , = 1/ ( 2 ) ,

S n , l( z ) = K ( + ( z h) / ( n h) - xj

h )( + ( z h) / ( n h) - xj )l, l = 0 , 1 , 2 . an d

Wj , z = K ( + ( z h) / ( n h) - xj

h ){S n , 2( z ) - ( + ( z h) / ( n h) - xj ) S n , 1( z )}.

T h en

n( z ) - E { n( z ) } = ( n h)

j

W+j , z

j W+j , z - W+j , 0

j W+j , 0 j-

j

W-j , z

j W-j , z - W-j , 0

j W-j , 0 j .

Ob serv e n ow for an y z [ - M , M ]

S n , l( z ) = n hl + 1[ l( K - ) + O ( 1/ n ) ] , wj , z = n2h4[ 2( K- ) + O( 1/ n ) ] .

T hu s w e h av e

C ov ( n ( z1) , n( z2) )

= ( n h)2 2

n4h8 2( K - )2 j [( W+j , z1- W+j , 0) ( W+j , z2- W+j , 0) - ( W+j , z1- W+j , 0)( W-j , z2- W-j , 0) - ( W-j , z1- W-j , 0) ( W+j , z2- W+j , 0) + ( W-j , z1- W-j , 0) ( W-j , z2- W-j , 0)]

= ( n h)2 n h2

2{ {[K +( + ( z1h) / ( n h)h - x )- K +( - xh )] [K +( + ( z2h) / ( n h)h - x )- K +( - xh )]

- [K +( + ( z1h) / ( n h) - x

h )- K+( - xh )]

[K - ( + ( z2h) / ( n h) - x

h )- K- ( - xh )]

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+ [K - ( + ( z1h) / ( n h) - x

h )- K +( - xh )]

[K - ( + ( z2h) / ( n h) - x

h )- K - ( - xh )]}dx + O( 1/ n )}.

By th e a s su m pt ion s for K , th en K ( + ( z h) / ( n h) - x

h )- K ( - xh )

= K ' ( - xh ) ( n h)z + O(( n h)1 2 ) 1 {K '( - xh )0}{K '( + ( z h ) / ( n h ) - x

h )0}

S i n c e 1

{K' (- xh )0}K '(+ ( z h ) / ( n h ) - x

h )0}dx = O ( h) . K '2( - xh )dx = h K -'2( u ) d u , an d K +' ( - xh )K -'( - xh )dx = 0 , t h en

C ov ( n( z1) , n( z2) ) = 2z1z2

2 K -'2( u ) d u + O ( 1/ ( n h) ) . (3.3) Let

aj = ( n h) W+j , z

j W+j , z - W+j , 0

j W+j , 0 - W-j , z

j W-j , z - W-j , 0

j W-j , 0 .

T h en n ( z ) - E n( z ) = aj j. S in ce m ax 1 j n aj2/ aj2 0 ,

n( z ) - E n( z ) sat isfies Lin db erg ' s con dit ion . T hu s w e h av e a sy m pt ot ic n orm alit y of n( z ) a s follow s .

L e m m a 3 .2 . F or fix ed z [ - M , M ] ,

n( z ) - E n ( z ) d

N (0 , 2 z2 2 K -'2( u ) d u).

F or fix ed z1 ,z2 , , zl [ - M , M ] ,

( n( z1) - E n( z1) , , n( zl) - E n( zl) ) d

N ( 0 , ) , w h er e = ( i , j ) an d i , j = 2 z1z2

2 K -'2( u ) d u .

By follow in g t h e sim ilar lin es t o t h e pr oof of Lem m a 6.5 in M u ller (1992), it can b e sh ow n t h at th e sequ en ce n = n( z ) - E n( z ) is t ig ht . T h is an d Lem m a 3.2 t og et h er im ply t h e follow in g .

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T h e o re m 3 .1 F or fix ed z [ - M , M ] ,

n

w on C ( [ - M , M ]) , (3.4)

w h er e is a cont in u ou s Gau s sian pr oces s w it h

E ( z ) = - z + 1K - ( 0) / ( + 1) .

C ov ( ( z1) , ( z2) ) = 2 z1z2 2 K -'2( u ) d u . N ot e t h at ( z ) in ab ov e th eor em can b e w rit t en equ iv alen tly a s

( z ) = - z + 1K - ( 0) / ( + 1) ! + X z , w h er e X N ( 0 , 2 K -'2( u ) d u ) an d h a s a u niqu e m ax im u m at

Z*= [ x ! / ( ( ) K - ( 0) ) ]1/ . Let Zn b e t h e location of th e m ax im um of n. T h en

= + Zn h/ ( n h) 1/ ( 2 ). S in ce Zn

d Z * by T h eor em 3.1 th e a sy m pt otic n orm ality of follow s . C o ro ll ary 3 .1

n h ( h- ) d N (0 , 2 2 ( ( ) K!-( )( 0) )2 K -'2( u ) d u). (3.6)

A pply in g t h e fun ct ion al m appin g th eor em giv es t h at n ( Zn) d

( Z *) an d h en ce ( n h) 1/ 2 n( Zn) / ( n h) ( + 1) / ( 2 )

0 . T his im plies

( n h) 1/ 2 { ( ) - ( ) } p 0 by t h e defin it ion s of n( ) , Zn, ( ) an d . M or eov er sin ce n h n Vn

p K , for s om e finit e con st ant K ,

{ ( ) - ( ) }/ n Vn p

0 . T h erefor e com binin g t his w it h Lem m a 3.1, w e h av e t h e a sy m pt ot ic n orm alit y of ( ) .

C o ro ll ary 3 .2

C K *n ( ) = ( ) - ( )

n Vn

d N ( 0 , 1) . (3.7)

A sy m pt ot ic 100 ( 1 - ) % confiden ce in t erv als of an d ( ) are

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h [ - 1( 1 - / 2) ! n / ( ( ) K- ( 0) ) ]1/ [ 2 K -'2( u ) d u / ( n h) ]1/ ( 2 ), (3.8 )

( ) - 1( 1 - / 2) n Vn. . (3.9)

By Cor ollary 3.2. th e nu m b er of ch an g e p oint s is equ iv alen t t o t h e n um b er of t h e clu st er s of th e closed n eig hb orh ood s atisfied a s

C K *n ( ) > - 1( 1 - / 2) .

Re f e ren c e

1. Ch en , J . an d Gupt a , A . K . (1997 ). T est in g an d Locatin g V arian ce Ch an g epoin t s W ith A pplicat ion t o S t ock P rice, J ournal of A m er ican S ta tis tical A s s ocia tion , 92, 739 - 747.

2. J ose, C. T . an d Ism ail, B . (1999 ). Ch an g e p oint s in n onp ar am etric r eg r es sion fu n ct ion s , Com m un ica t ion in S ta tis tics - T he ory an d M e th od , 28, 1883 - 1902.

3. Loader , C. (1996 ). Ch an g e p oint E st im at ion u sin g n on par am et ric r egr es sion , A nnals of S ta tis tics , 24, 1667 - 1678.

4. M u ller , H . G. (1992). Ch an g e p oint s in n onparam etric r egr es sion an aly sis , A nnals s ta t is tics , 20, 737 - 761.

[ 2002년 9월 접수, 2002년 10월 채택 ]

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