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ORCIDComputational Statistics & Data Analysis, Volume 126
Volume 126, October 2018
- Luis E. Castro, Nazrul I. Shaikh
:
A particle-learning-based approach to estimate the influence matrix of online social networks. 1-18 - Hukum Chandra, Nicola Salvati, Ray Chambers:
Small area estimation under a spatially non-linear model. 19-38 - Lu-Hung Chen, Ci-Ren Jiang:
Sensible functional linear discriminant analysis. 39-52 - G. S. Rodrigues, Dennis Prangle, Scott A. Sisson:
Recalibration: A post-processing method for approximate Bayesian computation. 53-66 - Yuexiao Dong, Qi Xia, Cheng Yong Tang, Zeda Li:
On sufficient dimension reduction with missing responses through estimating equations. 67-77 - Zemin Zheng, Yang Li, Chongxiu Yu, Gaorong Li:
Balanced estimation for high-dimensional measurement error models. 78-91 - Mauro Bernardi, Marco Bottone, Lea Petrella:
Bayesian quantile regression using the skew exponential power distribution. 92-111 - David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke:
An induced natural selection heuristic for finding optimal Bayesian experimental designs. 112-124 - Sangin Lee, Youngjo Lee, Yudi Pawitan:
Sparse pathway-based prediction models for high-throughput molecular data. 125-135 - Massimiliano Russo, Daniele Durante, Bruno Scarpa:
Bayesian inference on group differences in multivariate categorical data. 136-149 - Ryosuke Igari, Takahiro Hoshino:
A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing. 150-166
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