-
variables under study,
there exist other relevant variables that are
unobserved, but
correlated with the
observed variables;
dependent and independent...
- as motivation. Chamberlain's
approach to
unobserved effects models is a way of
estimating the
linear unobserved effects,
under fixed effect (rather than...
-
virtualization of
pressure differences in the air. Can we ****ume the
unobserved world functions the same as the
observed world? – e.g. "does observation...
-
heterogeneity in
duration models can take on
different forms. On the one hand,
unobserved heterogeneity can play a
crucial role when it
comes to
different sampling...
- term for the
probability distribution of an
unobserved variable. Today, the
problem of
determining an
unobserved variable (by
whatever method) is
called inferential...
- to tap
aspects of the
unobserved latent variable. That is, y[i] is the
vector of
observed responses predicted by the
unobserved latent variable ξ {\displaystyle...
-
variations in two
unobserved (underlying) variables.
Factor analysis searches for such
joint variations in
response to
unobserved latent variables. The...
- the gr**** but not the rain.
These predictions may not be
feasible given unobserved variables, as in most
policy evaluation problems. The
effect of the action...
-
might be
either positive or negative.
Proxy variable must
relate to an
unobserved variable, must
correlate with disturbance, and must not
correlate with...
-
estimates of
parameters in
statistical models,
where the
model depends on
unobserved latent variables. The EM
iteration alternates between performing an expectation...
