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Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-016-0801-8
Abstract: Let $$\left\{ (X_{i},Y_{i}), i \ge 1 \right\} $$(Xi,Yi),i≥1 be a strictly stationary sequence of associated random vectors distributed as (X, Y). This note deals with kernel estimation of the regression function $$r(x)=\mathbb {E}[Y|X=x]$$r(x)=E[Y|X=x] in the presence…
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Keywords:
conditional expectation;
note estimating;
estimating conditional;
uniform consistency ... See more keywords
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Published in 2018 at "Positivity"
DOI: 10.1007/s11117-018-0581-6
Abstract: Let $$({\mathcal {M}},\tau )$$(M,τ) be a semi-finite von Neumann algebra, $$({\mathcal {N}},\tau |_{{\mathcal {N}}})$$(N,τ|N) be a semi-finite von Neumann subalgebra and $${\mathcal {E}}:\;{\mathcal {M}}\rightarrow {\mathcal {N}}$$E:M→N be a conditional expectation which leaves $$\tau $$τ invariant.…
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Keywords:
conditional expectation;
property conditional;
expectation;
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Published in 2020 at "Bulletin of the Malaysian Mathematical Sciences Society"
DOI: 10.1007/s40840-020-00967-y
Abstract: In this paper, we introduce a space of $$\theta $$ -admissible distributions denoted by $${\mathcal {A}}_\theta ^*$$ as well as the notion of $$\theta $$ -admissible operators. We study the regularity properties of the classical…
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Keywords:
mathcal theta;
conditional expectation;
theta;
quantum white ... See more keywords
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Published in 2017 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2016.10.013
Abstract: Recently, Labuschagne and Watson introduced the space L2(T) for a conditional expectation T with natural domain a Riesz space L1(T). The main purpose of this paper is to carry on with this process by introducing…
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Keywords:
conditional expectation;
expectation riesz;
respect conditional;
expectation ... See more keywords
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Published in 2020 at "Statistics"
DOI: 10.1080/02331888.2020.1725517
Abstract: ABSTRACT Markov kernels play a decisive role in probability and mathematical statistics theories, and are an extension of the concepts of -field and statistic. Concepts such as independence, sufficiency, completeness, ancillarity or conditional distribution have…
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Keywords:
conditional expectation;
markov;
kernel given;
given another ... See more keywords
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Published in 2020 at "Philosophy of Science"
DOI: 10.1086/710543
Abstract: Reflection and martingale principles are central to models of rational learning. They can be justified in a variety of ways. In what follows we study martingale and reflection principles in the context of measure theory.…
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Keywords:
conditional expectation;
philosophy;
generalized learning;
learning conditional ... See more keywords
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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3135798
Abstract: In order to generalize the applicability of Conditional Value at Risk, one of the most widely used measurements used in financial risk management, we develop a solution methodology for the conditional expectation (CE)-based simulation optimization…
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Keywords:
simulation;
expectation based;
conditional expectation;
expectation ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3239193
Abstract: Digital images often suffer from the common problem of stripe noise due to the inconsistent bias of each column. The existence of the stripe poses much more difficulties on image denoising since it requires another…
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Keywords:
destriping image;
conditional expectation;
image denoising;
simultaneous destriping ... See more keywords
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Published in 2018 at "Epigenomics"
DOI: 10.2217/epi-2017-0130
Abstract: AIM DNA methylation has proven to be a remarkably accurate biomarker for human age, allowing the prediction of chronological age to within a couple of years. Recently, we proposed that the Universal PaceMaker (UPM), a…
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Keywords:
conditional expectation;
maximization algorithm;
expectation maximization;
pacemaker ... See more keywords
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Published in 2019 at "Entropy"
DOI: 10.3390/e21010072
Abstract: In the literature, we can find several blind adaptive deconvolution algorithms based on closed-form approximated expressions for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output), involving the maximum…
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Keywords:
blind adaptive;
conditional expectation;
expectation;
noise ... See more keywords