VOL. 44 · NO. 2 | April 2016
 
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Frontmatter
Ann. Statist. 44 (2), (April 2016)
No abstract available
Ann. Statist. 44 (2), (April 2016)
No abstract available
Articles
T. Tony Cai, Weidong Liu, Harrison H. Zhou
Ann. Statist. 44 (2), 455-488, (April 2016) DOI: 10.1214/13-AOS1171
KEYWORDS: Constrained $\ell_{1}$-minimization, Covariance matrix, Graphical model, minimax lower bound, Optimal rate of convergence, precision matrix, Sparsity, spectral norm, 62H12, 62F12, 62G09
Yen-Chi Chen, Christopher R. Genovese, Ryan J. Tibshirani, Larry Wasserman
Ann. Statist. 44 (2), 489-514, (April 2016) DOI: 10.1214/15-AOS1373
KEYWORDS: Nonparametric regression, modes, mixture model, confidence set, prediction set, bootstrap, 62G08, 62G20, 62G05
Jinyuan Chang, Cheng Yong Tang, Yichao Wu
Ann. Statist. 44 (2), 515-539, (April 2016) DOI: 10.1214/15-AOS1374
KEYWORDS: empirical likelihood, high-dimensional data analysis, nonparametric and semiparametric models, sure independence screening, 62G99, 62H99
Stéphane Bonhomme, Koen Jochmans, Jean-Marc Robin
Ann. Statist. 44 (2), 540-563, (April 2016) DOI: 10.1214/15-AOS1376
KEYWORDS: Finite mixture model, Hidden Markov model, latent structure, multilinear restrictions, multivariate data, nonparametric estimation, simultaneous matrix diagonalization, 15A69, 62G05, 15A18‎, 15A23, 62G20, 62H17, 62H30
Xianchao Xie, S. C. Kou, Lawrence Brown
Ann. Statist. 44 (2), 564-597, (April 2016) DOI: 10.1214/15-AOS1377
KEYWORDS: hierarchical model, shrinkage estimator, unbiased estimate of risk, asymptotic optimality, quadratic variance function, NEF-QVF, location-scale family, 60K35
Monika Bhattacharjee, Arup Bose
Ann. Statist. 44 (2), 598-628, (April 2016) DOI: 10.1214/15-AOS1378
KEYWORDS: Infinite dimensional vector linear process, symmetrized autocovariance matrices, Limiting spectral distribution, Wigner matrix, ID matrix, Moment method, semi-circle law, asymptotically free, non-crossing partitions, non-commutative probability space, $*$-algebra, free cumulants, compound free Poisson, Stieltjes transformation, 62M10, 37M10, 58C40, 46L54, 62J20
Hongcheng Liu, Tao Yao, Runze Li
Ann. Statist. 44 (2), 629-659, (April 2016) DOI: 10.1214/15-AOS1380
KEYWORDS: Folded concave penalties, global optimization, high-dimensional statistical learning, MCP, nonconvex quadratic programming, SCAD, sparse recovery, 62J05, 62J07
Vianney Perchet, Philippe Rigollet, Sylvain Chassang, Erik Snowberg
Ann. Statist. 44 (2), 660-681, (April 2016) DOI: 10.1214/15-AOS1381
KEYWORDS: Multi-armed bandit problems, regret bounds, batches, multi-phase allocation, grouped clinical trials, sample size determination, switching cost, 62L05, 62C20
Tony Cai, Donggyu Kim, Yazhen Wang, Ming Yuan, Harrison H. Zhou
Ann. Statist. 44 (2), 682-712, (April 2016) DOI: 10.1214/15-AOS1382
KEYWORDS: compressed sensing, density matrix, Pauli matrices, quantum measurement, Quantum probability, quantum statistics, sparse representation, spectral norm, minimax estimation, 62H12, 81P50, 62C20, 62P35, 81P45, 81P68
Alexander R. Luedtke, Mark J. van der Laan
Ann. Statist. 44 (2), 713-742, (April 2016) DOI: 10.1214/15-AOS1384
KEYWORDS: Efficient estimator, non-regular inference, online estimation, optimal treatment, Pathwise differentiability, semi parametric model, optimal value, 62G05, 62N99
Jonathan E. Taylor, Joshua R. Loftus, Ryan J. Tibshirani
Ann. Statist. 44 (2), 743-770, (April 2016) DOI: 10.1214/15-AOS1386
KEYWORDS: Gaussian processes, convex analysis, regularized regression, 62M40, 62J05
Victor M. Panaretos, Yoav Zemel
Ann. Statist. 44 (2), 771-812, (April 2016) DOI: 10.1214/15-AOS1387
KEYWORDS: doubly stochastic Poisson process, Fréchet mean, geodesic variation, Monge problem, Optimal transportation, length space, registration, warping, Wasserstein metric, 62M, 60G55, 62G
Dimitris Bertsimas, Angela King, Rahul Mazumder
Ann. Statist. 44 (2), 813-852, (April 2016) DOI: 10.1214/15-AOS1388
KEYWORDS: sparse linear regression, Best subset selection, $\ell_{0}$-constrained minimization, Lasso, least absolute deviation, algorithms, mixed integer programming, global optimization, discrete optimization, 62J05, 62J07, 62G35, 90C11, 90C26, 90C27
Sumit Mukherjee
Ann. Statist. 44 (2), 853-875, (April 2016) DOI: 10.1214/15-AOS1389
KEYWORDS: permutation, normalizing constant, Mallows model, pseudo-likelihood, 62F12, 60F10, 05A05
Yun Yang, David B. Dunson
Ann. Statist. 44 (2), 876-905, (April 2016) DOI: 10.1214/15-AOS1390
KEYWORDS: asymptotics, contraction rates, dimensionality reduction, Gaussian process, manifold learning, nonparametric Bayes, subspace learning, 62H30, 62-07, 65U05, 68T05
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