On the Non-parametric Prediction of Conditionally Stationary Sequences

ISSN： 1387-0874

Source： Statistical Inference for Stochastic Processes, Vol.8, Iss.2, 2005-09, pp. : 151-184

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Corrections to “On the Nonparametric Prediction of Conditionally Stationary Sequences”, by S. Caires and J.A. Ferreira in Statistical Inference for Stochastic Processes 8 (2005), 151–184.

Statistical Inference for Stochastic Processes, Vol. 9, Iss. 1, 2006-05 ,pp. : 109-110

Springer Publishing Company

Access to resources Recommend Favorite

Distribution‐free prediction bands for non‐parametric regression

JOURNAL OF THE ROYAL STATISTICAL SOCIETY: SERIES B (STATISTICAL METHODOLOGY), Vol. 76, Iss. 1, 2014-01 ,pp. : 71-96

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modeling of non‐stationary vibration signals based on the modified Kronecker sequences

PROCEEDINGS IN APPLIED MATHEMATICS & MECHANICS (ELECTRONIC), Vol. 15, Iss. 1, 2015-10 ,pp. : 195-196

John Wiley & Sons Inc

Access to resources Recommend Favorite

Non-parametric Bayesian analysis of clustered survival data

By Lee Jaeyong

Statistics, Vol. 42, Iss. 6, 2008-12 ,pp. : 515-526

Taylor & Francis Ltd

Access to resources Recommend Favorite

Change-Point Detection With Non-Parametric Regression

By Lajos Orváth

Statistics, Vol. 36, Iss. 1, 2002-01 ,pp. : 9-31

Taylor & Francis Ltd

Access to resources Recommend Favorite