Results 21 to 30 of about 107,685 (262)
Molecular timetrees using relaxed clocks and uncertain phylogenies
Frontiers in Bioinformatics, 2023 A common practice in molecular systematics is to infer phylogeny and then scale it to time by using a relaxed clock method and calibrations. This sequential analysis practice ignores the effect of phylogenetic uncertainty on divergence time estimates and
Jose Barba-Montoya +5 more
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Frontiers in Public Health, 2021 This paper explores the necessity of expanding government expenditures on health (GEH) from the perspective of promoting residents' consumption (RC).
Ting-Yu Jiang
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A Robust Prediction Model for Species Distribution Using Bagging Ensembles with Deep Neural Networks
Remote Sensing, 2021 Species distribution models have been used for various purposes, such as conserving species, discovering potential habitats, and obtaining evolutionary insights by predicting species occurrence. Many statistical and machine-learning-based approaches have
Jehyeok Rew, Yongjang Cho, Eenjun Hwang
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Synthese, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Douven, Igor, Kelp, Christoph
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The Annals of Statistics, 2021 The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing confidence intervals. A key insight is that one can approximate the properties of estimators by using the empirical distribution function of the sample as an approximation for the true distribution function.
Imbens, Guido, Menzel, Konrad
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The Bootstrapping Service [PDF]
26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006 We outline a lightweight architecture to support novel application scenarios for P2P systems. These scenarios include merging and splitting of large networks, or multiplexing relatively short-lived applications over a pool of shared resources. In such scenarios, the architecture needs to be quickly and efficiently (re)generated frequently, often from ...
Márk Jelasity +2 more
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Using the Wild Bootstrap to Quantify Uncertainty in Mean Apparent Propagator MRI
Frontiers in Neuroinformatics, 2019 Purpose: Estimation of uncertainty of MAP-MRI metrics is an important topic, for several reasons. Bootstrap derived uncertainty, such as the standard deviation, provides valuable information, and can be incorporated in MAP-MRI studies to provide more ...
Xuan Gu +8 more
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Time Series Regression Modelling: Replication, Estimation and Aggregation through Maximum Entropy
Engineering Proceedings, 2023 In today’s world of large volumes of data, where the usual statistical estimation methods are commonly inefficient or, more often, impossible to use, aggregation methodologies have emerged as a solution for statistical inference.
Jorge Duarte, Maria Costa, Pedro Macedo
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Mathematics, 2021 Companies always seek ways to make their professional employees stay with them to reduce extra recruiting and training costs. Predicting whether a particular employee may leave or not will help the company to make preventive decisions.
Saeed Najafi-Zangeneh +3 more
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Model Error (or Ambiguity) and Its Estimation, with Particular Application to Loss Reserving
Risks, 2023 This paper is concerned with the estimation of forecast error, particularly in relation to insurance loss reserving. Forecast error is generally regarded as consisting of three components, namely parameter, process and model errors.
Greg Taylor, Gráinne McGuire
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