Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density

Volume: 48, Issue: 4, Pages: 583 - 604
Published: Mar 12, 2021
Abstract
This study examines the optimal selections of bandwidth and semi-metric for a functional partial linear model. Our proposed method begins by estimating the unknown error density using a kernel...
Paper Details
Title
Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density
Published Date
Mar 12, 2021
Volume
48
Issue
4
Pages
583 - 604
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.