Results 41 to 50 of about 2,119,441 (264)
Methods in Ecology and EvolutionEvolutionary biologists characterize macroevolutionary trends of phenotypic change across the tree of life using phylogenetic comparative methods. However, within‐species variation can complicate such investigations.
Dean C. Adams, Michael L. Collyer
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Optimizing Linear Models via Sinusoidal Transformation for Boosted Machine Learning in Medicine
مجلة كلية الطب, 2020 Background: Machine learning relies on a hybrid of analytics, including regression analyses. There have been no attempts to deploy a sinusoidal transformation of data to enhance linear regression models.
Ahmed Al-Imam
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Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
Entropy, 2023 The argument of environment-assisted invariance (known as envariance) implying Born’s rule is widely used in models for quantum measurement to reason that they must yield the correct statistics, specifically for linear models.
Lotte Mertens, Jasper van Wezel
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Fence methods for mixed model selection
, 2008 Many model search strategies involve trading off model fit with model complexity in a penalized goodness of fit measure. Asymptotic properties for these types of procedures in settings like linear regression and ARMA time series have been studied, but ...
Gu, Zhonghua +3 more
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Toric algebra of hypergraphs [PDF]
, 2013 The edges of any hypergraph parametrize a monomial algebra called the edge subring of the hypergraph. We study presentation ideals of these edge subrings, and describe their generators in terms of balanced walks on hypergraphs.
Petrović, Sonja, Stasi, Despina
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
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Research on linear regression algorithm [PDF]
MATEC Web of ConferencesLinear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various ...
Qu Kecheng
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Nonparametric inference in generalized functional linear models [PDF]
, 2015 We propose a roughness regularization approach in making nonparametric inference for generalized functional linear models. In a reproducing kernel Hilbert space framework, we construct asymptotically valid confidence intervals for regression mean ...
Cheng, Guang, Shang, Zuofeng
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Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
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UNA GENERALIZACIÓN DE LA ESTADÍSTICA DE COOK UNA GENERALIZACIÓN DE LA ESTADÍSTICA DE COOK
Revista Colombiana de Estadística, 2001 This paper presents a generalization of the Cook's statistics useful in the identification of influential observations in the least squares estimation of the multiple regression parameters.En este artículo se presenta una generalización de la estadística
Jiménez M. José
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