Optimal estimation in functional linear regression for sparse noise‐contaminated data
Behdad Mostafaiy, Mohammad Reza-Faridrohani, Shojaeddin Chenouri
págs. 524-559
On the use of priors in goodness‐of‐fit tests
Alberto Contreras-Cristán, Richard Lockhart, Michael A. Stephens, Shaun Z Sun
págs. 560-579
Synthetic data method to incorporate external information into a current study
Tian Gu, J. M. G. Taylor, Weiting Chen, Bhramar Mukherjee
págs. 580-603
Estimation of the intensity function of an inhomogeneous Poisson process with a change‐point
Tin Lok J Ng, Thomas Brendan Murphy
págs. 604-618
Andrew Mccormack, Nancy Reid, Nicola Sartori, Sri-Amirthan Theivendran
págs. 619-627
Asymptotic theory for local estimators based on Bregman divergence
Kawamura, Kenta, Naito, Kanta
págs. 628-652
Instrumental variable estimation in ordinal probit models with mismeasured predictors
Jing Yuan, Hongjia Chen, Kenneth A Bollen, D Roland Thomas, Liqun Wang
págs. 653-667
A semiparametric approach for modelling multivariate nonlinear time series
S. Yaser Samadi, Mahtab Hajebi, Rahman Farnoosh
págs. 668-687
Yin Song, Farouk Nathoo, Arif Babul
págs. 688-711
A random‐effects model for clustered circular data
Louis-Paul Rivest, Shogo Kato
págs. 712-728
Doubly sparse regression incorporating graphical structure among predictors
Matthew Stephenson, R Ayesha Ali, Gerarda A Darlington
págs. 729-747
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