Results 31 to 40 of about 967,069 (289)
Applied Sciences, 2019 Spatial predictive methods are increasingly being used to generate predictions across various disciplines in environmental sciences. Accuracy of the predictions is critical as they form the basis for environmental management and conservation.
Jin Li
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Tree-aggregated predictive modeling of microbiome data
Scientific Reports, 2021 Modern high-throughput sequencing technologies provide low-cost microbiome survey data across all habitats of life at unprecedented scale. At the most granular level, the primary data consist of sparse counts of amplicon sequence variants or operational ...
Jacob Bien +3 more
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Estimating Major Risk Factor Relativities in Rate Filings Using Generalized Linear Models
International Journal of Financial Studies, 2018 Predictive modeling is a key technique in auto insurance rate-making and the decision-making involved in the review of rate filings. Unlike an approach based on hypothesis testing, the results from predictive modeling not only serve as statistical ...
Shengkun Xie, Anna T. Lawniczak
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Balancing Complex Signals for Robust Predictive Modeling
Sensors, 2021 Robust predictive modeling is the process of creating, validating, and testing models to obtain better prediction outcomes. Datasets usually contain outliers whose trend deviates from the most data points.
Fazal Aman +4 more
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Bayesian Synthesis: Combining subjective analyses, with an application to ozone data
, 2011 Bayesian model averaging enables one to combine the disparate predictions of a number of models in a coherent fashion, leading to superior predictive performance. The improvement in performance arises from averaging models that make different predictions.
MacEachern, Steven N. +2 more
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On the impact of hidden modeling assumptions on living systems- predictive dynamics
Ontare, 2015 ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems.
Ivan Mura
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Modeling student pathways in a physics bachelor's degree program
, 2019 Physics education research has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferences ...
Aiken, John M. +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
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Predictive modeling of emergency cesarean delivery.
PLoS ONE, 2018 ObjectiveTo increase discriminatory accuracy (DA) for emergency cesarean sections (ECSs).Study designWe prospectively collected data on and studied all 6,157 births occurring in 2014 at four public hospitals located in three different autonomous ...
Carlos Campillo-Artero +2 more
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Extracting low-dimensional psychological representations from convolutional neural networks [PDF]
, 2020 Deep neural networks are increasingly being used in cognitive modeling as a means of deriving representations for complex stimuli such as images. While the predictive power of these networks is high, it is often not clear whether they also offer useful ...
Griffiths, Thomas L. +2 more
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