On the Conditional Expectation on Kôpka’s D-posets

Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-65545-1_3 ◽

2017 ◽

pp. 22-29

Author(s):

Daniela Kluvancová

Keyword(s):

Conditional Expectation

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A Transformed Conditional Expectation

SSRN Electronic Journal ◽

10.2139/ssrn.2503905 ◽

2014 ◽

Author(s):

Tumellano Sebehela

Keyword(s):

Conditional Expectation

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Sampling Reconstruction Procedure for Non-Stationary Gaussian Processes Based on Conditional Expectation Rule

Sampling Theory, Signal Processing, and Data Analysis ◽

10.1007/bf03549374 ◽

2002 ◽

Vol 1 (2) ◽

pp. 135-153

Author(s):

V.A. Kazakov ◽

M. A. Belyaev

Keyword(s):

Gaussian Processes ◽

Conditional Expectation ◽

Reconstruction Procedure ◽

Stationary Gaussian Processes

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Conditional expectation in an operator algebra, I

Tohoku Mathematical Journal ◽

10.2748/tmj/1178245177 ◽

1954 ◽

Vol 6 (2-3) ◽

pp. 177-181 ◽

Cited By ~ 113

Author(s):

Hisaharu Umegaki

Keyword(s):

Operator Algebra ◽

Conditional Expectation ◽

Algebra I

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Some conditional expectation identities for the multivariate normal

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2010.04.012 ◽

2010 ◽

Vol 101 (9) ◽

pp. 2250-2253 ◽

Cited By ~ 1

Author(s):

Christopher S. Withers ◽

Saralees Nadarajah

Keyword(s):

Conditional Expectation ◽

Multivariate Normal

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Expect the Unexpected from Conditional Expectation

The American Statistician ◽

10.2307/2685937 ◽

1998 ◽

Vol 52 (3) ◽

pp. 248 ◽

Cited By ~ 4

Author(s):

Michael A. Proschan ◽

Brett Presnell

Keyword(s):

Conditional Expectation

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Independence, Conditional Expectation, and Zero Covariance

The American Statistician ◽

10.1080/00031305.1972.10478946 ◽

1972 ◽

Vol 26 (5) ◽

pp. 22-24

Author(s):

Jeffrey J. Hunter

Keyword(s):

Conditional Expectation

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Quadratic transformations: a model for population growth. II

Advances in Applied Probability ◽

10.1017/s000186780003737x ◽

1970 ◽

Vol 2 (02) ◽

pp. 179-228 ◽

Cited By ~ 7

Author(s):

Harry Kesten

Keyword(s):

Population Growth ◽

Convergence Theorem ◽

Conditional Expectation ◽

High Probability ◽

Random Variables ◽

Convergence Results ◽

General Convergence

In this last part theFn(i) andMn(i) are considered as random variables whose distributions are described by the model and various mating rules of Section 2. Several convergence results will be proved for those specific mating rules, but we begin with the more general convergence theorem 6.1. The proof of this theorem brings out the basic idea of this section, namely that whenFnandMnare large,Fn + 1(i) andMn + 1(i) will, with high probability, be close to a certain function ofFn(·) andMn(·) (roughly the conditional expectation ofFn+1(i) andMn + 1(i) givenFn(·) andMn(·)).

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Inclusions of ternary rings of operators and conditional expectations

Mathematical Proceedings of the Cambridge Philosophical Society ◽

10.1017/s030500411300042x ◽

2013 ◽

Vol 155 (3) ◽

pp. 475-482 ◽

Cited By ~ 1

Author(s):

PEKKA SALMI ◽

ADAM SKALSKI

Keyword(s):

Conditional Expectation ◽

Ternary Ring ◽

Conditional Expectations

AbstractIt is shown that if T is a ternary ring of operators (TRO), X is a nondegenerate sub-TRO of T and there exists a contractive idempotent surjective map P: T → X then P has a unique, explicitly described extension to a conditional expectation between the associated linking algebras. A version of the result for W*-TROs is also presented and some applications mentioned.

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