Results 11 to 20 of about 622,309 (297)

Reliability as Projection in Operator-Theoretic Test Theory: Conditional Expectation, Hilbert Space Geometry, and Implications for Psychometric Practice. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +2 more sources

Predicting CO2 Minimum Miscibility Pressure (MMP) Using Alternating Conditional Expectation (ACE) Algorithm

Oil & Gas Science and Technology, 2015
Miscible gas injection is one of the most important enhanced oil recovery (EOR) approaches for increasing oil recovery. Due to the massive cost associated with this approach a high degree of accuracy is required for predicting the outcome of the process.
Alomair O., Malallah A., Elsharkawy A., Iqbal M.   +3 more
doaj   +2 more sources

Conditional expectation network for SHAP [PDF]

Social Science Research Network, 2023
A very popular model-agnostic technique for explaining predictive models is the SHapley Additive exPlanation (SHAP). The two most popular versions of SHAP are a conditional expectation version and an unconditional expectation version (the latter is also ...
Ronald Richman, M. Wüthrich
semanticscholar   +1 more source

A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family [PDF]

Information Theory Workshop, 2021
Consider a pair of random vectors $(\mathrm{X}, \mathrm{Y})$ and the conditional expectation operator $\mathbb{E}[\mathrm{X} \mid \mathrm{Y}=\mathrm{y}]$.
Alex Dytso, Martina Cardone
semanticscholar   +1 more source

On Independence Neutrosophic Random Variables [PDF]

Neutrosophic Sets and Systems, 2021
In this article we study independence neutrosophic random variables and conditioned expectation, we prove that conditional variance is equal to neutrosophic conditional variance.
Carlos Granados, Jose Sanabria
doaj   +1 more source

The linear conditional expectation in Hilbert space [PDF]

, 2020
The linear conditional expectation (LCE) provides a best linear (or rather, affine) estimate of the conditional expectation and hence plays an important role in approximate Bayesian inference, especially the Bayes linear approach.
I. Klebanov, Björn Sprungk, T. Sullivan
semanticscholar   +1 more source

Stein’s lemma for truncated generalized skew-elliptical random vectors

AIMS Mathematics, 2020
Inspired by Shushi [1] and Adcock et al. [2], we consider Stein’s lemma for truncated generalized skew-elliptical random vectors. We provide two Stein’s lemmas. One is Stein’s lemma for truncated generalized skew-elliptical random vectors, the other is a
Baishuai Zuo, Chuancun Yin
doaj   +1 more source

Dimension reduction with expectation of conditional difference measure

Statistical Theory and Related Fields, 2023
In this article, we introduce a flexible model-free approach to sufficient dimension reduction analysis using the expectation of conditional difference measure.
Wenhui Sheng, Qingcong Yuan
doaj   +1 more source

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation [PDF]

, 2013
This article presents individual conditional expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. Classical partial dependence plots (PDPs) help visualize the average partial relationship between the ...
A. Goldstein, A. Kapelner, J. Bleich, E. Pitkin   +3 more
semanticscholar   +1 more source

Further characterization based on conditional expectations: new and extended findings

Journal of Taibah University for Science, 2023
On the basis of conditional expectation of a random variable function, we present few characterization findings in this study. For a given function g, [Formula: see text], we present necessary and sufficient conditions for characterization results in ...
Ali. A. Al-Shomrani
doaj   +1 more source