A Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density

Hanlin Shang

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Contibutions in infinite- dimensional statistics and related topics
Editors	Enea g Bongiorno, Also Goia,Ernesto Salinelli,Philippe Vieu
Place of Publication	Bologna, Italy
Publisher	Societa Editrice Seculapio
Pages	263-268
Volume	50
Edition	1st
ISBN (Print)	9788874887637
Publication status	Published - 2014

Cite this

Shang, Hanlin. / A Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density. Contibutions in infinite- dimensional statistics and related topics. editor / Enea g Bongiorno, Also Goia,Ernesto Salinelli,Philippe Vieu. Vol. 50 1st. ed. Bologna, Italy : Societa Editrice Seculapio, 2014. pp. 263-268

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A Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density. / Shang, Hanlin.
Contibutions in infinite- dimensional statistics and related topics. ed. / Enea g Bongiorno, Also Goia,Ernesto Salinelli,Philippe Vieu. Vol. 50 1st. ed. Bologna, Italy: Societa Editrice Seculapio, 2014. p. 263-268.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - A Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density

AU - Shang, Hanlin

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SN - 9788874887637

VL - 50

SP - 263

EP - 268

BT - Contibutions in infinite- dimensional statistics and related topics

A2 - null, Enea g Bongiorno, Also Goia,Ernesto Salinelli,Philippe Vieu

PB - Societa Editrice Seculapio

CY - Bologna, Italy

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