Results 151 to 160 of about 13,851,275 (245)

Semiparametric Estimation in Multivariate Nonstationary Time Series Models [PDF]

A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Peter C.B. Phillips, Jiti Gao
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Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling. [PDF]

J R Stat Soc Series B Stat Methodol, 2019
Piao J, Ning J, Shen Y.
europepmc   +1 more source

Efficient estimation of parameters in marginals in semiparametric multivariate models [PDF]

Recent literature on semiparametric copula models focused on the situation when the marginals are specified nonparametrically and the copula function is given a parametric form.
Artem Prokhorov, Valentyn Panchenko
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A semiparametric model for wearable sensor-based physical activity monitoring data with informative device wear. [PDF]

Biostatistics, 2019
Song J, Swartz MD, Gabriel KP, Basen-Engquist K.   +3 more
europepmc   +1 more source

Characterizing heterogeneity in Alzheimer's disease progression: a semiparametric model. [PDF]

Sci Rep
Gelir F, Chatla SB, Bhuiyan MS, Disbrow EA, Conrad SA, Vanchiere JA, Kevil CG, Gecili E, Bhuiyan MAN.   +8 more
europepmc   +1 more source

Semiparametric model averaging prediction in nested case-control studies. [PDF]

J Appl Stat
Li M, Wang X.
europepmc   +1 more source

Bayesian semiparametric model for sequential treatment decisions with informative timing. [PDF]

Biostatistics
Oganisian A, Getz KD, Alonzo TA, Aplenc R, Roy JA.   +4 more
europepmc   +1 more source

Semiparametric model and inference for spontaneous abortion data with a cured proportion and biased sampling. [PDF]

Biostatistics, 2018
Piao J, Ning J, Chambers CD, Xu R.
europepmc   +1 more source

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle, Maria Osipenko, Esra Akdeniz Duran   +2 more
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Higher-Order Kernel Semiparametric M-Estimation of Long Memory [PDF]

Econometric interest in the possibility of long memory has developed as a flexible alternative to, or compromise between, the usual short memory or unit root prescriptions, for example in the context of modelling cointegrating or other relationships and ...
Peter M Robinson, Marc Henry
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