Sparse Density Estimation with Measurement Errors

This paper aims to estimate an unknown density of the data with measurement errors as a linear combination of functions from a dictionary. The main novelty is the proposal and investigation of the corrected sparse density estimator (CSDE). Inspired by the penalization approach, we propose the weight...

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Detalles Bibliográficos
Autores principales: Yang, Xiaowei, Zhang, Huiming, Wei, Haoyu, Zhang, Shouzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774630/
https://www.ncbi.nlm.nih.gov/pubmed/35052056
http://dx.doi.org/10.3390/e24010030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774630/
https://www.ncbi.nlm.nih.gov/pubmed/35052056
http://dx.doi.org/10.3390/e24010030

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