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Mahalanobis distances for ecological niche modelling and outlier detection: implications of sample size, error, and bias for selecting and parameterising a multivariate location and scatter method [PDF]
PeerJ, 2021 The Mahalanobis distance is a statistical technique that has been used in statistics and data science for data classification and outlier detection, and in ecology to quantify species-environment relationships in habitat and ecological niche models ...
Thomas R. Etherington
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Inverted encoding of neural responses to audiovisual stimuli reveals super-additive multisensory enhancement [PDF]
eLifeA central challenge for the brain is how to combine separate sources of information from different sensory modalities to optimally represent objects and events in the external world, such as combining someone’s speech and lip movements to better ...
Zak Buhmann +3 more
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Bayesian nonparametric tests for multivariate locations [PDF]
Journal of Statistical Planning and Inference, 2022 In this paper, we propose novel, fully Bayesian non-parametric tests for one-sample and two-sample multivariate location problems. We model the underlying distribution using a Dirichlet process prior, and develop a testing procedure based on the posterior credible region for the spatial median functional of the distribution. For the one-sample problem,
Indrabati Bhattacharya, Subhashis Ghosal
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TLGRU: time and location gated recurrent unit for multivariate time series imputation
EURASIP Journal on Advances in Signal Processing, 2022 Multivariate time series are widely used in industrial equipment monitoring and maintenance, health monitoring, weather forecasting and other fields. Due to abnormal sensors, equipment failures, environmental interference and human errors, the collected ...
Ruimin Wang +3 more
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Journal of the Egyptian National Cancer Institute, 2022 Objective Glioblastoma Multiforme (GBM), a devastating the most common primary malignant intracranial brain tumors. In India, the incidence of this malignancy is escalating, however, there are very few studies on this tumor entity from Indian population.
Trupti Trivedi +3 more
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Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. [PDF]
PLoS ONE, 2018 This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials.
Xuejun Jiang +4 more
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Land, 2023 In this research, the authors aim to detect the marginal appreciation of construction and neighbourhood characteristics of property prices at three different time points: before the COVID-19 pandemic, two years after the first COVID-19 alert but before ...
Laura Gabrielli +2 more
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Testing the Homogeneity of Sequences of Multivariate Random Variables [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2015 The paper discusses the method of examining the homogeneity of sequences of random variables including testing the normality of multivariate random variables as well as testing the equality of many expected values and testing the equality of many ...
Zbigniew Wesołowski
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Robust estimation of multivariate location and shape [PDF]
Journal of Statistical Planning and Inference, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rocke, David, Woodruff, David
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Prognostic Significance of Tumor Location in Oncologic Outcome of Colon Cancer [PDF]
Iranian Journal of Colorectal Research, 2023 Background: A growing amount of data has indicated the possibility that tumor location may play a prognostic role in colon cancer. We set out to investigate the relationship between the location of colon cancer (right-sided vs.
Sare Hosseini +7 more
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