VOL. 42 · NO. 4 | August 2014
 
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Frontmatter
Ann. Statist. 42 (4), (August 2014)
No abstract available
Ann. Statist. 42 (4), (August 2014)
No abstract available
Articles
Masayo Yoshimori, Partha Lahiri
Ann. Statist. 42 (4), 1233-1261, (August 2014) DOI: 10.1214/14-AOS1219
KEYWORDS: Adjusted maximum likelihood, coverage error, Empirical Bayes, linear mixed model, 62C12, 62F25
Lilun Du, Chunming Zhang
Ann. Statist. 42 (4), 1262-1311, (August 2014) DOI: 10.1214/14-AOS1222
KEYWORDS: Bivariate normality, local false discovery rate, multiple comparison, $p$-value, simultaneous inference, symmetry property, 62P10, 62G10, 62H15
Markus Bibinger, Nikolaus Hautsch, Peter Malec, Markus Reiß
Ann. Statist. 42 (4), 1312-1346, (August 2014) DOI: 10.1214/14-AOS1224
KEYWORDS: ‎asymptotic ‎equivalence, Asynchronous observations, integrated covolatility matrix, high-frequency data, semi-parametric efficiency, microstructure noise, 62M10, 62G05
Yuanzhen He, Boxin Tang
Ann. Statist. 42 (4), 1347-1360, (August 2014) DOI: 10.1214/14-AOS1225
KEYWORDS: computer experiment, low dimensional projection, Latin hypercube, space-filling design, $(t,m,s)$-net, 62K15, 05B15
Xian Chen, Zhi-Ming Ma, Ying Wang
Ann. Statist. 42 (4), 1361-1393, (August 2014) DOI: 10.1214/14-AOS1227
KEYWORDS: Markov jump process, Coalescent process, random sequence, conditional distribution, Genetic recombination, ancestral recombination graph, back-in-time algorithm, spatial algorithm, 60J25, 65C60, 92B15, 92D25, 60J75
Fasheng Sun, Min-Qian Liu, Peter Z. G. Qian
Ann. Statist. 42 (4), 1394-1425, (August 2014) DOI: 10.1214/14-AOS1229
KEYWORDS: computer experiment, difference matrix, Galois field, orthogonal array, OA-based Latin hypercube, Rao–Hamming construction, sliced space-filling design, 62K15, 62K20
Andrej Pázman, Luc Pronzato
Ann. Statist. 42 (4), 1426-1451, (August 2014) DOI: 10.1214/14-AOS1232
KEYWORDS: optimal design, nonlinear least-squares, estimability, curvature, 62K05, 62J02
Robin J. Evans, Thomas S. Richardson
Ann. Statist. 42 (4), 1452-1482, (August 2014) DOI: 10.1214/14-AOS1206
KEYWORDS: Acyclic directed mixed graph, curved exponential family, Conditional independence, Graphical model, m-separation, parameterization, 62M45
Florian Maire, Randal Douc, Jimmy Olsson
Ann. Statist. 42 (4), 1483-1510, (August 2014) DOI: 10.1214/14-AOS1209
KEYWORDS: Markov chain Monte Carlo, asymptotic variance, Peskun ordering, Inhomogeneous Markov chains, pseudo-marginal algorithms, 60J22, 65C05, 62J10
Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman
Ann. Statist. 42 (4), 1511-1545, (August 2014) DOI: 10.1214/14-AOS1218
KEYWORDS: Ridges, Density estimation, manifold learning, 62G05, 62G20, 62H12
Ce Shi, Yu Tang, Jianxing Yin
Ann. Statist. 42 (4), 1546-1563, (August 2014) DOI: 10.1214/14-AOS1228
KEYWORDS: Detecting array, heuristic algorithm, mixed level, optimality, search design, 62K15, 94C12
Victor Chernozhukov, Denis Chetverikov, Kengo Kato
Ann. Statist. 42 (4), 1564-1597, (August 2014) DOI: 10.1214/14-AOS1230
KEYWORDS: coupling, empirical process, Gaussian approximation, Kernel estimation, local empirical process, series estimation, supremum, 60F17, 62E17, 62G20
Axel Bücher, Johan Segers, Stanislav Volgushev
Ann. Statist. 42 (4), 1598-1634, (August 2014) DOI: 10.1214/14-AOS1237
KEYWORDS: bootstrap, copula, epigraph, hypograph, Linear regression, local alternative, power curve, residual empirical process, stable tail dependence function, weak convergence, 60F05, 62G30, 62G32, 62M09
Holger Dette, Yuri Grigoriev
Ann. Statist. 42 (4), 1635-1656, (August 2014) DOI: 10.1214/14-AOS1241
KEYWORDS: Response surface models, Optimal designs, $E$-optimality, extremal polynomial, Duality, nonlinear Chebyshev approximation, 62K05, 41A50
Efang Kong, Yingcun Xia
Ann. Statist. 42 (4), 1657-1688, (August 2014) DOI: 10.1214/14-AOS1242
KEYWORDS: Bahadur approximation, sufficient dimension reduction, local polynomial smoothing, Quantile regression, semiparametric models, U-processes, 62J07
Jack Kuipers, Giusi Moffa, David Heckerman
Ann. Statist. 42 (4), 1689-1691, (August 2014) DOI: 10.1214/14-AOS1217
KEYWORDS: Gaussian DAG models, Bayesian network learning, BGe score, 62-07, 62F15, 62H99
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