BarekengSome semiparametric regression model approaches include spline, kernel, Fourier series, and wavelet. Semiparametric regression modelling can involve more than one independent variable (multivariable), a parametric approach is usually combined with one of
Lilik Hidayati +4 more
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Detection of Influential Observations in Semiparametric Regression Model
Revista Colombiana de Estadística, 2013 In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model.
SEMRA TÜRKAN, ÖNIZ TOKTAMIS
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Semiparametric Accelerated Failure Time Model as a New Approach for Health Science Studies
Iranian Journal of Public Health, 2017 Semiparametric Accelerated Failure Time Model as a New Approach for Health Science ...
Mostafa KARIMI, Ardalan SHARIAT
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Distilling noise characteristics and prior expectations in multisensory causal inference. [PDF]
PLoS Comput BiolLiu S, Holland T, Ma WJ, Acerbi L.
europepmc +1 more source
Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates. [PDF]
J Am Stat AssocGuo W, Wang T.
europepmc +1 more source
Causal K-Means Clustering. [PDF]
J R Stat Soc Series B Stat MethodolKim K, Kim J, Kennedy EH.
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An Innovative Semiparametric Density Model for the Statistical Characterization of Ground-Vehicle Radar Cross Sections. [PDF]
Sensors (Basel)Liu Z, Wen S, Sun H, Deng M.
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Use of the test-negative design to estimate the protective effect of a scalar immune measure: a simulation analysis. [PDF]
Am J EpidemiolZhang Z, Boyer CB, Lipsitch M.
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SEMIPARAMETRIC ANALYSIS OF INTERVAL-CENSORED DATA SUBJECT TO INACCURATE DIAGNOSES WITH A TERMINAL EVENT. [PDF]
Ann Appl StatDeng Y, Zeng D, Wang Y.
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Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach. [PDF]
Stat MedMatthews S, Nan B.
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