Claudia Fassino, Eva Riccomagno, Maria-Piera Rogantin
Published 2017-09-26Version 1
The expected value of some complex valued random vectors is computed by means of the indicator function of a designed experiment as known in algebraic statistics. The general theory is set-up and results are obtained for finite discrete random vectors and the Gaussian random vector. The precision space of some cubature rules/designed experiments are determined.
Expectation, Conditional Expectation and Martingales in Local Fields
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
The Family of Alpha,[a,b] Stochastic Orders: Risk vs. Expected Value
![QR code for arXiv:1709.08910 [math.PR]](http://oss.arxitics.com/images/favicon.svg)