Results 21 to 30 of about 284,592 (266)
Non-parametric generalized linear model
CoRR, 2020 A fundamental problem in statistical neuroscience is to model how neurons encode information by analyzing electrophysiological recordings. A popular and widely-used approach is to fit the spike trains with an autoregressive point process model. These models are characterized by a set of convolutional temporal filters, whose subsequent analysis can help
Matthew Dowling +2 more
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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
doaj +1 more source
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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Non-parametric Mixture Models for Clustering [PDF]
, 2010 Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM), which significantly limits their capacity in fitting diverse multidimensional data distributions encountered in practice.We propose a non-parametric mixture model (NMM) for ...
Pavan Kumar Mallapragada +2 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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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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Active Learning for Non-Parametric Choice Models
SSRN Electronic Journal, 2022 45 pages, 4 ...
Fransisca Susan +3 more
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