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ORCIDComputational Statistics & Data Analysis, Volume 161
Volume 161, September 2021
- Caiyun Fan, Wenbin Lu, Yong Zhou:
Testing error heterogeneity in censored linear regression. 107207
- Matthew Jones, Michael Goldstein, David Randell, Philip Jonathan
:
Bayes linear analysis for ordinary differential equations. 107228
- Carlos E. Rodríguez, Stephen G. Walker:
Copula Particle Filters. 107230 - Craig Wang, Reinhard Furrer:
Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework. 107240 - Qin Wang, Yuan Xue:
An ensemble of inverse moment estimators for sufficient dimension reduction. 107241 - Nicola Donelli, Stefano Peluso, Antonietta Mira:
A Bayesian semiparametric vector Multiplicative Error Model. 107242 - Mohammad Ghorbani, Nafiseh Vafaei, Jirí Dvorák, Mari Myllymäki:
Testing the first-order separability hypothesis for spatio-temporal point patterns. 107245 - Xiaoyu Liu, Liming Xiang:
Generalized accelerated hazards mixture cure models with interval-censored data. 107248 - Yoshihide Kakizawa:
A class of Birnbaum-Saunders type kernel density estimators for nonnegative data. 107249 - Philippe Lambert:
Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data. 107250 - Jianwei Shi, Guoyou Qin, Huichen Zhu, Zhongyi Zhu:
Communication-efficient distributed M-estimation with missing data. 107251 - Daniel Ahfock, Geoffrey J. McLachlan:
Harmless label noise and informative soft-labels in supervised classification. 107253 - Jung Wun Lee, Hwan Chung, Saebom Jeon:
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use. 107261 - Kangning Wang, Shaomin Li, Benle Zhang:
Robust communication-efficient distributed composite quantile regression and variable selection for massive data. 107262
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