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Time
Fig. 3.1 Arabidopsis thaliana gene expression time series from Smith et al. ( 2004 )
ε (
t
)
is a white noise vector of size k , with zero mean (E
( ε (
t
)) =
0) and time-
).
Similar to an auto-regressive process, a VAR( p )oforder p assumes a linear corre-
lation structure between the k variables observed at time points t and the k variables
observed at the p previous time points.
invariant positive definite covariance matrix (COV
( ε (
t
)) = Σ
3.1.2.1 Covariance Stationarity of a VAR Process
AVAR( p ) process can be written as a VAR(1) process via its companion form ,
Y
(
t
)=
AY
(
t
1
)+ υ (
t
) ,
(3.6)
with
.
A 1 A 2 ...
A p 1 A p
Y
(
t
)
ε (
t
)
I
0
...
00
.
.
.
0
.
0
0
I
...
00
Y
(
t
)=
,
A
=
,
υ (
t
)=
(3.7)
.
.
.
.
. . .
(
+
)
Y
t
p
1
00
...
I
0
 
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