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Computational Statistics and Data Analysis 70 (2014) vi–vii Volume 70, February 2014 CONTENTS Section I: Computational Statistics H. Großmann Automating the analysis of variance of orthogonal designs 1 S. Hautphenne and M. Fackrell An EM algorithm for the model fitting of Markovian binary trees 19 P. Menéndez, Y. Fan, P.H. Garthwaite and S.A. Sisson Simultaneous adjustment of bias and coverage probabilities for confidence intervals 35 E.G. Ryan, C.C. Drovandi, M.H. Thompson and A.N. Pettitt Towards Bayesian experimental design for nonlinear models that require a large number of sampling times 45 W.J.J. Roberts Factor analysis parameter estimation from incomplete data 61 E.A. Maharaj and A.M. Alonso Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals 67 R. Cruz-Cano and M.-L.T. Lee Fast regularized canonical correlation analysis 88 Section II: Statistical Methodology for Data Analysis S. Wang and B. Zhang Semiparametric empirical likelihood confidence intervals for AUC under a density ratio model 101 L. Wu, Y. Yang and H. Liu Nonnegative-lasso and application in index tracking 116 T.S.T. Wong and W.K. Li Test for homogeneity in gamma mixture models using likelihood ratio 127 S. Luo and Z. Chen Edge detection in sparse Gaussian graphical models 138 E. Kouassi, M. Mougoué, J. Sango, J.M. Bosson Brou, C.M.O. Amba and A.A. Salisu Testing for heteroskedasticity and spatial correlation in a two way random effects model 153 G. Wang, N. Lin and B. Zhang Functional k-means inverse regression 172 (Continued) http://dx.doi.org/10.1016/S0167-9473(13)00384-8

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Computational Statistics and Data Analysis 70 (2014) vi–vii

Volume 70, February 2014

CONTENTS

Section I: Computational Statistics

H. GroßmannAutomating the analysis of variance of orthogonal designs 1

S. Hautphenne and M. FackrellAn EM algorithm for the model fitting of Markovian binary trees 19

P. Menéndez, Y. Fan, P.H. Garthwaite and S.A. SissonSimultaneous adjustment of bias and coverage probabilities for confidence intervals 35

E.G. Ryan, C.C. Drovandi, M.H. Thompson and A.N. PettittTowards Bayesian experimental design for nonlinear models that require a large number ofsampling times 45

W.J.J. RobertsFactor analysis parameter estimation from incomplete data 61

E.A. Maharaj and A.M. AlonsoDiscriminant analysis of multivariate time series: Application to diagnosis based on ECG signals 67

R. Cruz-Cano and M.-L.T. LeeFast regularized canonical correlation analysis 88

Section II: Statistical Methodology for Data Analysis

S. Wang and B. ZhangSemiparametric empirical likelihood confidence intervals for AUC under a density ratio model 101

L. Wu, Y. Yang and H. LiuNonnegative-lasso and application in index tracking 116

T.S.T. Wong and W.K. LiTest for homogeneity in gamma mixture models using likelihood ratio 127

S. Luo and Z. ChenEdge detection in sparse Gaussian graphical models 138

E. Kouassi, M. Mougoué, J. Sango, J.M. Bosson Brou, C.M.O. Amba and A.A. SalisuTesting for heteroskedasticity and spatial correlation in a two way random effects model 153

G. Wang, N. Lin and B. ZhangFunctional k-means inverse regression 172

(Continued)

http://dx.doi.org/10.1016/S0167-9473(13)00384-8

Contents / Computational Statistics and Data Analysis 70 (2014) vi–vii vii

T. Zhang, Q. Zhang and Q. WangModel detection for functional polynomial regression 183

S. Roberts and G. NowakStabilizing the lasso against cross-validation variability 198

M.K.P. So and R.S.W. ChungDynamic seasonality in time series 212

G. Lefebvre, J. Atherton and D. TalbotThe effect of the prior distribution in the Bayesian Adjustment for Confounding algorithm 227

P. Lai, Q. Wang and X.-H. ZhouVariable selection and semiparametric efficient estimation for the heteroscedastic partiallylinear single-index model 241

D. Campbell and S. LeleAn ANOVA test for parameter estimability using data cloning with application to statisticalinference for dynamic systems 257

Y. Marhuenda, D. Morales and M. del Carmen PardoInformation criteria for Fay–Herriot model selection 268

M.A. Kouritzin, F. Newton and B. WuA graph theoretic approach to simulation and classification 281

W. Xu, Q. Pan and J.L. GastwirthCox proportional hazards models with frailty for negatively correlated employment processes 295

L. Li, S. Yao and P. DuchesneOn wavelet-based testing for serial correlation of unknown form using Fan’s adaptiveNeyman method 308

X. Puig and J. GinebraA cluster analysis of vote transitions 328

S. Liu, E.A. Maharaj and B. InderPolarization of forecast densities: A new approach to time series classification 345

J. Goldsmith and F. ScheiplEstimator selection and combination in scalar-on-function regression 362

C. Dimeglio, S. Gallón, J.-M. Loubes and E. MazaA robust algorithm for template curve estimation based on manifold embedding 373

Z. Chen and S. NadarajahOn the optimally weighted z-test for combining probabilities from independent studies 387

Section III: Special ApplicationsX. Huang, L. Shi and J.A.K. SuykensAsymmetric least squares support vector machine classifiers 395