Displaying 3 results from an estimated 3 matches for "eta_".
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eta
2002 Aug 29
8
lme() with known level-one variances
...ion coefficients (and estimated standard errors) from identical
models fit to different data sets. I would like to use these results
to create pooled estimated regression coefficients and estimated
standard errors for these pooled coefficients. In particular, I would
like to estimate the model
\beta_{i} = \mu + \eta_{i} + \epsilon_{i}
\eta_{i} ~ iid N(0,\tau^2) and independent of the \epsilon_{i}, the
latter themselves being independent with variances assumed known and
equal to the squared standard errors reported in the regression
output.
I would like to use lme() to estimate \tau^2 by REML,...
2011 Nov 12
1
State space model
Hi,
I'm trying to estimate the parameters of a state space model of the
following form
measurement eq:
z_t = a + b*y_t + eps_t
transition eq
y_t+h = (I -exp(-hL))theta + exp(-hL)y_t+ eta_{t+h}.
The problem is that the distribution of the innovations of the transition
equation depend on the previous value of the state variable.
To be exact: y_t|y_{t-1} ~N(mu, Q_t) where Q is a diagonal matrix with
elements equal to
Q_{i,t} =
sigma_i*(1-exp(-kappa_i*h)/kappa_i*(theta_i/2*(1-exp(kapp...
2002 Dec 10
1
autoregressive poisson process
Dear R users,
I am trying to find a package that can estimate
an autoregressive model for discrete data. I am
imagining a Poisson or Gamma process in which the
mean (say mu) follows a process such as
mu_t = a + b*x + c*mu_{t-1}
Suppose I have data on the time-series Poisson
outcomes and x and would like to obtain ML estimates
for b and c.
Does anyone know of a package that can do this