Q:

What is cooperative resolution?

Q:

What is proportional marginal variance decomposition (PMVD)?

Q:

What are some applications of PMVD?

Questions and Answers

Q:

What is cooperative resolution?

A:

Cooperative resolution refers to the use of techniques from cooperative game theory to resolve statistical joint effects.  A prime example of a statistical joint effect is the explained variance of a multivariate model.  Traditional statistical methods only determine marginal contributions to explained variance

Q:

What is proportional marginal variance decomposition (PMVD)?

A:

PMVD is a method of attributing the explained variance of a statistical model to its explanatory factors.  PMVD considers the marginal contribution to explained variance of all sets of factors.  It then uses the proportional value to resolve the joint contributions to explained variance.

Q:

What are some applications of PMVD?

A:

The principal theoretical application of PMVD is variance decomposition in statistical models.