The Annals of Statistics aim to publish research papers of highest quality reflecting the many facets of contemporary statistics. Primary emphasis is placed on importance and originality, not on formalism. The journal aims to cover all areas of statistics, especially mathematical statistics and applied & interdisciplinary statistics. Of course many of the best papers will touch on more than one of these general areas, because the discipline of statistics has deep roots in mathematics, and in substantive scientific fields.
《统计年鉴》旨在发表反映当代统计许多方面的最高质量的研究论文。主要强调的是重要性和独创性,而不是形式主义。该杂志旨在涵盖统计学的所有领域,特别是数理统计和应用及跨学科统计。当然,许多最好的论文将触及一个以上的这些一般领域,因为学科的统计有深刻的根源,在数学,并在实质性的科学领域。
On deep learning as a remedy for the curse of dimensionality in nonparametric regression
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1747
Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1745
Distributed estimation of principal eigenspaces.
来源期刊:Annals of statisticsDOI:10.1214/18-aos1713
CHIME: Clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1711
Efficient estimation of integrated volatility functionals via multiscale jackknife
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1684
Intrinsic Riemannian functional data analysis
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1787
On model selection from a finite family of possibly misspecified time series models
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1706
EIGENVALUE DISTRIBUTIONS OF VARIANCE COMPONENTS ESTIMATORS IN HIGH-DIMENSIONAL RANDOM EFFECTS MODELS.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1767
Nonparametric implied Lévy densities
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1703
A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1722
Estimating the algorithmic variance of randomized ensembles via the bootstrap
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1707
Statistics on the Stiefel manifold: Theory and applications
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1692
A critical threshold for design effects in network sampling
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1700
Two-sample and ANOVA tests for high dimensional means
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1720
FEATURE ELIMINATION IN KERNEL MACHINES IN MODERATELY HIGH DIMENSIONS.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1696
Detecting relevant changes in the mean of nonstationary processes—A mass excess approach
来源期刊:Annals of StatisticsDOI:10.1214/19-aos1811
Oracle inequalities and adaptive estimation in the convolution structure density model
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1687
LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1761
The BLUE in continuous-time regression models with correlated errors
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1734
Adaptive-to-model checking for regressions with diverging number of predictors
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1735
Prediction when fitting simple models to high-dimensional data
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1719
Doubly penalized estimation in additive regression with high-dimensional data
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1757
Joint convergence of sample autocovariance matrices when $p/n\\to 0$ with application
来源期刊:Annals of StatisticsDOI:10.1214/18-aos1785
A classification criterion for definitive screening designs
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1723
TEST FOR HIGH DIMENSIONAL CORRELATION MATRICES.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1768
HYPOTHESIS TESTING ON LINEAR STRUCTURES OF HIGH DIMENSIONAL COVARIANCE MATRIX.
来源期刊:Annals of statisticsDOI:10.1214/18-aos1779
NONPARAMETRIC TESTING FOR MULTIPLE SURVIVAL FUNCTIONS WITH NON-INFERIORITY MARGINS.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1686
Signal aliasing in Gaussian random fields for experiments with qualitative factors
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1682
ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS.
来源期刊:Annals of statisticsDOI:10.1214/18-AOS1750
On Partial-Sum Processes of ARMAX Residuals
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1776
Bootstrap tuning in Gaussian ordered model selection
来源期刊:Annals of StatisticsDOI:10.1214/18-AOS1717