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Journal of Applied Statistics Volume 41, 2014 - Issue 1
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Original Articles

A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow

Sung Wan HanDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USA
,
Rickson C. MesquitaInstitute of Physics, University of Campinas, Campinas, SP13083-859, Brazil
,
Theresa M. BuschDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USA
&
Mary E. PuttDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USACorrespondence[email protected]
Pages 26-45 | Received 05 Jan 2013, Accepted 26 Jul 2013, Published online: 05 Sep 2013

Citations (7)

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Read on this site (3)

Shuxia Zhang & Boping Tian. (2018) Semiparametric method for detecting multiple change points model in financial time series. Communications in Statistics - Theory and Methods 47:11, pages 2664-2683.
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Shuxia Zhang, Gejun Bao, Boping Tian & Yijun Li. (2017) Semiparametric test for multiple change-points based on empirical likelihood. Communications in Statistics - Theory and Methods 46:7, pages 3574-3585.
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Sung Won Han, Hua Zhong & Mary Putt. (2015) An Efficient Operator for the Change Point Estimation in Partial Spline Model. Communications in Statistics - Simulation and Computation 44:5, pages 1171-1186.
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Articles from other publishers (4)

Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang & Alessandro Rinaldo. (2022) Optimal Nonparametric Multivariate Change Point Detection and Localization. IEEE Transactions on Information Theory 68:3, pages 1922-1944.
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Aviolla Terza Damaliana, I Nyoman Budiantara & Vita Ratnasari. (2019) Comparing between mGCV and aGCV Methods to Choose The Optimal Knot Points in Semiparametric Regression with Spline Truncated Using Longitudinal Data. IOP Conference Series: Materials Science and Engineering 546:3, pages 032003.
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Tchilabalo A. Kpanzou, Kokouvi M. Gamado & Hippolyte Hounnon. (2018) A Beran-Inspired Estimator for the Weibull-Type Tail Coefficient. Journal of Statistical Theory and Practice 13:1.
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Jiahui Zhang, Yaodong Zhou & Yuanjie Liu. (2018) The Cost Efficiency on Listed Chinese Water Company Based on SFA Model. The Cost Efficiency on Listed Chinese Water Company Based on SFA Model.

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