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ORCIDComputational Statistics & Data Analysis, Volume 97
Volume 97, May 2016
- Shaoli Wang, Mian Huang, Xing Wu, Weixin Yao:
Mixture of functional linear models and its application to CO2-GDP functional data. 1-15
- Rob J. Hyndman
, Alan J. Lee, Earo Wang:
Fast computation of reconciled forecasts for hierarchical and grouped time series. 16-32
- Chihiro Hirotsu, Shoichi Yamamoto, Harukazu Tsuruta:
A unifying approach to the shape and change-point hypotheses in the discrete univariate exponential family. 33-46 - Bin Yao, Lianming Wang, Xin He:
Semiparametric regression analysis of panel count data allowing for within-subject correlation. 47-59
- Tom Michoel:
Natural coordinate descent algorithm for L1-penalised regression in generalised linear models. 60-70 - Eric Ruggieri, Marcus Antonellis:
An exact approach to Bayesian sequential change point detection. 71-86
- Shirin Golchi, David A. Campbell:
Sequentially Constrained Monte Carlo. 98-113
- Harry Joe, Peijun Sang:
Multivariate models for dependent clusters of variables with conditional independence given aggregation variables. 114-132 - Katherine Morris, Paul D. McNicholas:
Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures. 133-150 - Graciela Boente, Juan Carlos Pardo-Fernández:
Robust testing for superiority between two regression curves. 151-168 - Filidor V. Vilca, Renata G. Romeiro, Narayanaswamy Balakrishnan:
A bivariate Birnbaum-Saunders regression model. 169-183
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