Results 11 to 20 of about 921,406 (312)
Analysis of parametric biological models with non-linear dynamics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2012 In this paper we present recent results on parametric analysis of biological models. The underlying method is based on the algorithms for computing trajectory sets of hybrid systems with polynomial dynamics. The method is then applied to two case studies
Thao Dang, Romain Testylier
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A Novel EM-Type Algorithm to Estimate Semi-Parametric Mixtures of Partially Linear Models
Mathematics, 2023 Semi- and non-parametric mixture of normal regression models are a flexible class of mixture of regression models. These models assume that the component mixing proportions, regression functions and/or variances are non-parametric functions of the ...
Sphiwe B. Skhosana +2 more
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Experiments with non-parametric topic models [PDF]
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014 In topic modelling, various alternative priors have been developed, for instance asymmetric and symmetric priors for the document-topic and topic-word matrices respectively, the hierarchical Dirichlet process prior for the document-topic matrix and the hierarchical Pitman-Yor process prior for the topic-word matrix.
Wray L. Buntine, Swapnil Mishra
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International Journal of Digital Earth, 2023 Accurate monitoring of forest aboveground biomass (AGB) is vital for sustainable forest management. Generally, the AGB is estimated by combining satellite images and field measurements.
Linjing Zhang +4 more
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Remote Sensing, 2023 Altimeter data processing is very important to improve the quality of sea surface height (SSH) measurements. Sea state bias (SSB) correction is a relatively uncertain error correction due to the lack of a clear theoretical model. At present, the commonly
Jinyun Guo +4 more
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International VaR approach: Backtesting for different capital markets
Revista Contabilidade & Finanças, 2019 This article aims to compare distinct metrics of the value at risk (VaR), differing from prior studies with respect about compare three asset categories belonging to seven countries.
Marília Cordeiro Pinheiro +1 more
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Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
JOIV: International Journal on Informatics Visualization, 2023 Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals.
I Made Artha Agastya, Afrig Aminuddin
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Models and methodologies for credit scoring in personal banking: A literature review
Revista CEA, 2017 This paper provides a literature review on risk scoring models for credit granting in personal banking. The methods by Abdou & Pointon (2011), Glennon, Kiefer, Larson, & Choi (2008), and Saavedra-García (2010) are considered.
David Esteban Rodríguez-Guevara +2 more
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Active Learning for Non-Parametric Choice Models
SSRN Electronic Journal, 2022 45 pages, 4 ...
Fransisca Susan +3 more
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Remote Sensing, 2019 Multisource forest inventory methods were developed to improve the precision of national forest inventory estimates. These methods rely on the combination of inventory data and auxiliary information correlated with forest attributes of interest. As these
Dinesh Babu Irulappa-Pillai-Vijayakumar +4 more
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