A Soft-Sensor Approach to Probability Density Function Estimation

DOI10.1007/978-3-319-16727-5_21zbMath1388.62147OpenAlexW2413384618MaRDI QIDQ2799392

Yousef Alipouri, Javad Poshtan, M. Ghaniee Zarch

Publication date: 11 April 2016

Published in: Integral Methods in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-16727-5_21

zbMATH Keywords

fuzzy logicGaussian mixture modelonline estimationkernel density functionsoft sensor

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric inference and fuzziness (62G86)

Cites Work

• Variational approximations in Bayesian model selection for finite mixture distributions
• Nonparametric kernel density estimation near the boundary
• Nonparametric Probability Density Estimation: I. A Summary of Available Methods

This page was built for publication: A Soft-Sensor Approach to Probability Density Function Estimation