- In
probability theory and statistics,
covariance is a
measure of the
joint variability of two
random variables. The sign of the covariance, therefore,...
-
Harold Kelley's
covariation model (1967, 1971, 1972, 1973) is an
attribution theory in
which people make
causal inferences to
explain why
other people...
-
initio with the
sequence only (usually by
machine learning, ****isted by
covariation). The
structures for
individual domains are
docked together in a process...
- [X]_{t}=\int _{0}^{t}\sigma _{s}^{2}\,ds.}
Quadratic variations and
covariations of all
semimartingales can be
shown to exist. They form an important...
-
Attribution theory is the
original parent theory with
Harold Kelley's
covariation model and
Bernard Weiner's three-dimensional
model branching from Attribution...
- on
interdependence theory as well as
attribution theory,
proposed a
covariation model in 1973 to
explain the way
people make attributions. This model...
- Merrick, Joav (2003), "Measurement of
Quality of Life VII.
Statistical Covariation and
Global Quality of Life Data: The
Method of Weight-Modified Linear...
- (December 2005). "Serial
homology and the
evolution of
mammalian limb
covariation structure". Evolution. 59 (12): 2691–2704. doi:10.1554/05-233.1. ISSN 0014-3820...
- po****tions grow to ****ociate
certain traits with
certain behavior,
increasing covariation. This then
incentivizes in-group bias. Two
prominent theoretical approaches...
-
stochastic integral commutes with the
operation of
taking quadratic covariations. If X and Y are
semimartingales then any X-integrable
process will also...
