A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems by Salman Baroumand, Amir Reza Zaman, Mohammad Reza Mahmoudi

“…In this paper, the covariance control algorithm for nonlinear stochastic systems using covariance feedback is studied. …”
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The analyses of structural covariance and structural covariance similarity of cortical morphological measures by Xi Zhang, Yanmin Peng, Dongyue Li, Ailin Hou, Meng Liang, Chunshui Yu

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Covariational reasoning of field dependent prospective mathematics teacher in solving covariance problem by Fatchiyah Rahman, Dwi Juniati, Tatag Yuli Eko Siswono

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On the covariance estimation of the simple processes by Mohammadreza Mahmoudi

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Covariant and contravariant approaches to topology by Jerzy Dydak

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Trait macroevolution in the presence of covariates by Mark Pagel, Andrew Meade

“…A class of fundamental macroevolutionary questions awaits testing on the variation uniquely attributable to traits, and the ability to accommodate statistically one or more covariates opens the possibility of bringing the formal methods of causal inference to phylogenetic-comparative studies.…”
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Copula-Based Regression with Mixed Covariates by Saeed Aldahmani, Othmane Kortbi, Mhamed Mesfioui

“…Assoc. 2013, 108, 676–688) we extended copula-based regression to accommodate both continuous and discrete covariates. Specifically, we explored the construction of copulas to estimate the conditional mean of the response variable given the covariates, elucidating the relationship between copula structures and marginal distributions. …”
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Covariant quantisation of tensor multiplet models by Sergei M. Kuzenko, Emmanouil S. N. Raptakis

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ADAPTIVE COVARIANCE STABILIZATION OF VIDEO IMAGE by I. A. Baryskievic, V. Yu. Tsviatkou

“…It is based on gradient covariance features and selective search for best matching. …”
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General phase-covariant quantum cloning by Lan-Lan Li, Wen-Hai Zhang, Ke Zhang, Cheng-Yu Fan

“…Phase-covariant quantum cloning has important applications in quantum cryptography. …”
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Galilei covariance of the theory of Thouless pumps by Tilman Esslinger, Gian Michele Graf, Filippo Santi

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How to construct analysis of covariance in clinical trials: ANCOVA with one covariate in a completely randomized design structure by WooJin Jung, Kwan Lee, Hyung-Hwan Kim, Chiyeon Lim

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On shrinkage covariance estimators: how inefficient is 1/N strategy of covariance estimation for portfolio selection in foreign exchange market? by Muhammad Husnain, Shamrez Ali, Qaiser Munir, Ammar Jreisat

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Covariate modeling in pharmacometrics: General points for consideration by Kinjal Sanghavi, Jakob Ribbing, James A. Rogers, Mariam A. Ahmed, Mats O. Karlsson, Nick Holford, Estelle Chasseloup, Malidi Ahamadi, Kenneth G. Kowalski, Susan Cole, Essam Kerwash, Janet R. Wade, Chao Liu, Yaning Wang, Mirjam N. Trame, Hao Zhu, Justin J. Wilkins, for the ISoP Standards & Best Practices Committee

“…Abstract Modeling the relationships between covariates and pharmacometric model parameters is a central feature of pharmacometric analyses. …”
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Imputing Covariance for Meta-Analysis in the Presence of Interaction by Enwu Liu, Ryan Yan Liu

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Unconstrained Metropolis–Hastings Sampling of Covariance Matrices by Daniel Turek

“…Our method provides a simple and general-purpose approach for MCMC sampling of nonconjugate covariance matrices in arbitrary hierarchical model structures.…”
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Covariant phase space formalism for fluctuating boundaries by H. Adami, M. Golshani, M. M. Sheikh-Jabbari, V. Taghiloo, M. H. Vahidinia

“…Abstract We reconsider formulating D dimensional gauge theories, with the focus on the case of gravity theories, in spacetimes with boundaries. We extend covariant phase space formalism to the cases in which boundaries are allowed to fluctuate. …”
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Statistical notes for clinical researchers: covariance and correlation by Hae-Young Kim

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Covariance Structures in Conventional and Organic Cropping Systems by Abdullah A. Jaradat

“…Guidelines are needed to develop proper statistical analyses procedures and select appropriate models of covariance structures in response to expected temporal variation in long-term experiments. …”
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Cross-scale covariance for material property prediction by Benjamin A. Jasperson, Ilia Nikiforov, Amit Samanta, Fei Zhou, Ellad B. Tadmor, Vincenzo Lordi, Vasily V. Bulatov

“…Small-scale predictors found to be highly covariant with strength are computed using expensive quantum-accurate calculations and used to predict flow strength, within the statistical error bounds established in our study.…”
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