Results 31 to 40 of about 2,584,664 (216)
A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Thomas Kneib +3 more
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Barometr Regionalny, 2016 In this study, the effectiveness of classical regression models to forecast the indicator of mass accumulation of waste was investigated. The economic and infrastructural variables were used as explanatory variables.
Tomasz Szul, Krzysztof Nęcka
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A New Regression Model: Modal Linear Regression [PDF]
Scandinavian Journal of Statistics, 2013 ABSTRACTThe mode of a distribution provides an important summary of data and is often estimated on the basis of some non‐parametric kernel density estimator. This article develops a new data analysis tool called modal linear regression in order to explore high‐dimensional data. Modal linear regression models the conditional mode of a response Y given a
Yao, Weixin, Li, Longhai
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Frontiers in Neuroscience, 2021 Increasing social pressure enhances the psychological burden on individuals, and the severity of depression can no longer be ignored. The characteristics of high immersion and interactivity enhance virtual reality (VR) application in psychological ...
Yue Zhang +9 more
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A Phylogenetic Regression Model for Studying Trait Evolution on Network
, 2023 A phylogenetic regression model that incorporates the network structure allowing the reticulation event to study trait evolution is proposed. The parameter estimation is achieved through the maximum likelihood approach, where an algorithm is developed by
Dwueng-Chwuan Jhwueng
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Socioeconomic Challenges and Determinants of Shifting To a Circular Economy: An Empirical Study Based On German Data [PDF]
SocioEconomic ChallengesThe transition toward a circular economy is increasingly viewed as a response to major socioeconomic challenges, including resource scarcity, environmental degradation, and sustainable growth.
Olena Churikanova, Vladyslav Tykhoplav
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Allergologia et Immunopathologia, 2011 In the health sciences it is quite common to carry out studies designed to determine the influence of one or more variables upon a given response variable. When this response variable is numerical, simple or multiple regression techniques are used, depending on the case.
S, Domínguez-Almendros +2 more
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Non-Contact Detection of Wine Grape Load Volume in Hopper During Mechanical Harvesting
AgricultureIssues of poor real-time performance and low accuracy in the detection of load volume in the hopper during the mechanized harvesting of wine grapes are addressed in this study through the development of a proposed volume detection method based on ...
Haowei Liu +5 more
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Frontiers in Physics, 2021 Human papillomavirus (HPV) is considered as one of the major causes of multiple cancers, including cervical, anal, and vaginal cancers. Some studies analyzed the infection patterns of cancers caused by HPV using individual clinical test data, which is ...
Xiaoqin Du, Qi Tan
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CoRRWe introduce a highly expressive class of function approximators called Splat Regression Models. Model outputs are mixtures of heterogeneous and anisotropic bump functions, termed splats, each weighted by an output vector. The power of splat modeling lies in its ability to locally adjust the scale and direction of each splat, achieving both high ...
Mara Daniels, Philippe Rigollet
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