Results 31 to 40 of about 316,835 (263)
Demographic Research, 2013 Background: Population forecasts are widely used for public policy purposes. Methods to quantify the uncertainty in forecasts tend to ignore model uncertainty and to be based on a single model.
Guy J. Abel +5 more
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subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials
Journal of Statistical Software, 2021 The investigation of subgroups is an integral part of randomized clinical trials. Exploration of treatment effect heterogeneity is typically performed by covariate-adjusted analyses including treatment-by-covariate interactions.
Nicolas M. Ballarini +3 more
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jModelTest: Phylogenetic Model Averaging [PDF]
Molecular Biology and Evolution, 2008 jModelTest is a new program for the statistical selection of models of nucleotide substitution based on "Phyml" (Guindon and Gascuel 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 52:696-704.).
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AVERAGING PROPERTIES AND SPREADING MODELS [PDF]
Journal of the Korean Mathematical Society, 2005 The authors characterize Banach--Saks properties in Banach spaces in terms of spreading models. Theorem~1 is the well-known result [see, e.g., \textit{B.~Beauzamy} and \textit{J.--T.\ Lapresté}, ``Modèles étalés des espaces de Banach'' (Travaux en Cours, Hermann, Paris) (1984; Zbl 0553.46012)]) that \(X\) has the weak Banach--Saks property iff no ...
Cho, Kyugeun, Lee, Chongsung
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MFEAM: Multi-View Feature Enhanced Attention Model for Image Captioning
Applied SciencesImage captioning plays a crucial role in aligning visual content with natural language, serving as a key step toward effective cross-modal understanding. Transformer has become the dominant language model in image captioning.
Yang Cui, Juan Zhang
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A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties
Remote Sensing, 2022 This study tested and evaluated a suite of nine individual base learners and seven model averaging techniques for predicting the spatial distribution of soil properties in central Iran.
Ruhollah Taghizadeh-Mehrjardi +5 more
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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Combined oral contraceptive (COC) use in obese adult women dramatically increases the relative risk of developing a pulmonary embolism (PE). The risk of a PE in obese adolescent females taking contraceptives is currently unknown. The purpose of this investigation was to determine the effect of body mass index (BMI) and contraceptive
John Puetz, Joanne Salas
wiley +1 more source
Two-Population Mortality Forecasting: An Approach Based on Model Averaging
RisksThe analysis of residual life expectancy evolution at retirement age holds great importance for life insurers and pension schemes. Over the last 30 years, numerous models for forecasting mortality have been introduced, and those that allow us to predict ...
Luca De Mori +3 more
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Bagged Averaging of Regression Models [PDF]
, 2006 Linear regression and regression tree models are among the most known regression models used in the machine learning community and recently many researchers have examined their sufficiency in ensembles. Although many methods of ensemble design have been proposed, there is as yet no obvious picture of which method is best.
Sotiris B. Kotsiantis +2 more
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