Results 11 to 20 of about 12,852,243 (199)
MELD: Mixed effects for large datasets. [PDF]
PLoS ONE, 2017 Mixed effects models provide significant advantages in sensitivity and flexibility over typical statistical approaches to neural data analysis, but mass univariate application of mixed effects models to large neural datasets is computationally intensive.
Dylan M Nielson, Per B Sederberg
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Crystals, 2023 The S-scheme photocatalyst system has become increasingly popular in recent years for its ability to efficiently degrade various pollutants, including organic dyes, pesticides, and other harmful substances.
Navid Hussain Shah +4 more
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Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the nested design and its quantitative data analysis of variance and the SAS implementation. If one of the following two characteristics existed in a specific experimental study， a nested design could be ...
Hu Chunyan, Hu Liangping
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A Robust Segmented Mixed Effect Regression Model for Baseline Electricity Consumption Forecasting
Journal of Modern Power Systems and Clean Energy, 2022 Renewable energy production has been surging around the world in recent years. To mitigate the increasing uncertainty and intermittency of the renewable generation, proactive demand response algorithms and programs are proposed and developed to further ...
Xiaoyang Zhou +3 more
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Effectiveness of mixing in violent relaxation [PDF]
Physical Review E, 2011 Relaxation processes in collisionless dynamics lead to peculiar behavior in systems with long-range interactions such as self-gravitating systems, non-neutral plasmas, and wave-particle systems. These systems, adequately described by the Vlasov equation, present quasistationary states (QSS), i.e., long lasting intermediate stages of the dynamics that ...
de Buyl, Pierre, Gaspard, Pierre
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Mixed-effect models with trees
Advances in Data Analysis and Classification, 2022 AbstractTree-based regression models are a class of statistical models for predicting continuous response variables when the shape of the regression function is unknown. They naturally take into account both non-linearities and interactions. However, they struggle with linear and quasi-linear effects and assume iid data.
Anna Gottard +3 more
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Stifling silos: The need for a more holistic approach to mixed migration in a warming world [PDF]
, 2021 A climate-changed world is one of mixed migration taking place across a spectrum of time, space, and agency, with both positive and negative outcomes.
Zickgraf, Caroline
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Journal of Biological Dynamics, 2022 In this study we compare seven mathematical models of tumour growth using nonlinear mixed-effects which allows for a simultaneous fitting of multiple data and an estimation of both mean behaviour and variability. This is performed for two large datasets,
Dimitrios Voulgarelis +2 more
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Model Specification in Mixed-Effects Models
Communications in Kinesiology, 2023 Mixed-effect models are flexible tools for researchers in a myriad of fields, but that flexibility comes at the cost of complexity and if users are not careful in how their model is specified, they could be making faulty inferences from their data.
Keith Lohse +2 more
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Mixed-effects and fMRI studies [PDF]
NeuroImage, 2005 This note concerns mixed-effect (MFX) analyses in multisession functional magnetic resonance imaging (fMRI) studies. It clarifies the relationship between mixed-effect analyses and the two-stage "summary statistics" procedure (Holmes, A.P., Friston, K.J., 1998. Generalisability, random effects and population inference. NeuroImage 7, S754) that has been
Karl J. Friston +4 more
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