Results 41 to 50 of about 23,658 (304)
Nonparametric Probability Density Function Estimation Using the Padé Approximation
AlgorithmsEstimating the Probability Density Function (PDF) of observed data is crucial as a problem in its own right, and also for diverse engineering applications.
Hamid Reza Aghamiri +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models
Journal of Statistical SoftwareBayesian nonparametric models have proven to be successful tools for clustering and density estimation. While there exists a nourished ecosystem of implementations in R, for Python there are only a few. Here we develop a Python package called pyrichlet,
Fidel Selva +2 more
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Nonparametric series density estimation and testing [PDF]
Statistical Methods & Applications, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
On using nonparametric approaches for precipitation estimation
ITM Web of Conferences, 2018 Nonparametric density estimation methods have been used for precipitation estimation for decades. The new approach for estimating the density proposed recently by Geenens and Wang appears to offer advantages over them as far as their behavior in the tail
Grządziel Mariusz
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A Novel Nonparametric Estimation for Conditional Copula Functions Based on Bayes Theorem
IEEE Access, 2019 Conditional copula which measures the conditional dependence among variables, possesses a special position in copula field. In this article, based on Bayes theorem, we derive three kinds of conditional copula functions as the product of the corresponding
Xinyao Li, Weihong Zhang, Liangli He
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Nonparametric density estimation for multivariate bounded data [PDF]
Journal of Statistical Planning and Inference, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taoufik Bouezmarni, Jeroen V.K. Rombouts
openaire +5 more sources
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
Feature Screening via Mutual Information Learning Based on Nonparametric Density Estimation
Journal of Mathematics, 2022 With the advent of the era of big data, feature selection in high- or ultra-high-dimensional data is increasingly important in statistics and machine learning fields.
Shengbin Zhou, Tao Wang, Yejin Huang
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