- 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...
- [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...
-
initio with the
sequence only (usually by
machine learning, ****isted by
covariation). The
structures for
individual domains are
docked together in a process...
- Kelley,
individuals make
attributions by
utilizing the
covariation principle. The
covariation principle claims that
people attribute behavior to the factors...
- on
interdependence theory as well as
attribution theory,
proposed a
covariation model in 1973 to
explain the way
people make attributions. This model...
-
Attribution theory is the
original parent theory with
Harold Kelley's
covariation model and
Bernard Weiner's three-dimensional
model branching from Attribution...
-
transformation of
random variable X {\displaystyle \mathbf {X} } with
covariation matrix Σ X = c o v ( X ) {\displaystyle \mathbf {\Sigma _{X}} =\mathrm...
- po****tions grow to ****ociate
certain traits with
certain behavior,
increasing covariation. This then
incentivizes in-group bias. Two
prominent theoretical approaches...
-
denotes the
optional quadratic covariation of the
continuous parts of X and Y,
which is the
optional quadratic covariation minus the
jumps of the processes...
