A Bayesian approach for determining the optimal semi-metric and bandwidth in scalar-on-function quantile regression with unknown error density and dependent functional data

Journal of Multivariate Analysis

Volumn 146, Issue , 2016, Pages 95-104

  Shang, Han Lin ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Extreme value prediction; Functional kernel regression; Kernel form error density; Markov chain Monte Carlo

Indexed keywords

EID: 84935445404     PISSN: 0047259X     EISSN: 10957243     Source Type: Journal    
DOI: 10.1016/j.jmva.2015.06.015     Document Type: Article

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