Results 11 to 20 of about 307,097 (241)
Femtosecond covariance spectroscopy [PDF]
Proceedings of the National Academy of Sciences, 2019 Significance Here we establish femtosecond covariance spectroscopy as a technique that uses ultrashort stochastic light pulses to measure nonlinear material responses. By using pulses with spectrally uncorrelated fluctuations we can leverage on the noise and consider each repetition of the experiment as a measurement under different ...
TOLLERUD, JONATHAN OWEN +11 more
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Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
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Covariance-insured screening [PDF]
Computational Statistics & Data Analysis, 2019 Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size. In order to identify more novel biomarkers and understand biological mechanisms, it is vital to detect signals weakly associated with outcomes among ultrahigh-dimensional predictors.
Kevin He +7 more
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Psychiatry and Behavioral Sciences, 2017 Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
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Covariance of Covariance Features for Image Classification [PDF]
Proceedings of International Conference on Multimedia Retrieval, 2014 In this paper we propose a novel image descriptor built by computing the covariance of pixel level features on densely sampled patches and encoding them using their covariance. Appropriate projections to the Euclidean space and feature normalizations are employed in order to provide a strong descriptor usable with linear classifiers. In order to remove
SERRA, GIUSEPPE +3 more
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Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments
CORD, 2007 The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials.
T. S. G. Peiris
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Covariate Order Tests for Covariate Effect [PDF]
Lifetime Data Analysis, 2002 A new approach for constructing tests for association between a random right censored life time variable and a covariate is proposed. The basic idea is to first arrange the observations in increasing order of the covariate and then base the test on a certain point process defined by the observation times.
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Soil and Water Research, 2017 The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low ...
Jiří BRYCHTA, Miloslav JANEČEK
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The Modified Borel–Tanner (Mbt) Regression Model
Revstat Statistical Journal, 2017 A new one-parameter family of discrete distributions is presented. It has some advantages against the Poisson distribution as a suitable model for modelling data with a high frequencies of zeros and showing over-dispersion (variance larger than the mean)
Emilio Gómez-Déniz +2 more
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Covariate Assisted Principal Regression for Covariance Matrix Outcomes [PDF]
Biostatistics, 2018 AbstractModeling variances in data has been an important topic in many fields, including in financial and neuroimaging analysis. We consider the problem of regressing covariance matrices on a vector covariates, collected from each observational unit. The main aim is to uncover the variation in the covariance matrices across units that are explained by ...
Zhao, Yi +4 more
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