search for: xfast

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2007 Feb 17
1
Solve in maximum likelihood estimation
...t <- matrix(ncol=no.obs,nrow=no.obs) P <- Pminus <- array(dim=c(no.state,no.state,n)) Pfast <- Pfastmin <- matrix(NA,ncol=no.state,nrow=no.state) K <- array(dim=c(no.state,no.obs,n)) Kfast <- matrix(nrow=no.state,ncol=no.obs) X <- Xhatminus <- array(dim=c(no.state,1,n)) Xfast <- Xfastmin <- matrix(ncol=1,nrow=no.state) v <- array(dim=c(no.obs,1,n)) vfast <- matrix(nrow=no.obs,ncol=1) Y <- matrix(ncol=1,nrow=no.obs) log.lik <- numeric(n) Rprof() kalman <- function(a) {...