Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA .JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.
《美国统计协会杂志》（Journal of the American Statistical Association，简称JASA）成立于1888年，每季度在3月、6月、9月和12月出版，长期以来一直被认为是统计科学的首要期刊。文章集中在统计应用，理论和方法在经济，社会，物理，工程和健康科学。对统计学进步有贡献的重要书籍在JASA上进行了评论。JASA被收录在Current Index to Statistics和MathSci Online上，并在Mathematical Reviews上进行了评论。JASA由Access公司进行了摘要，并在社会研究方法学SRM数据库中进行了索引和摘要。
Speeding Up MCMC by Efficient Data Subsampling
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1448827
Functional Graphical Models
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1390466
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1476246
Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1529595
Simulation and the Monte Carlo Method, 3rd ed.
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1662243
Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1407774
Penalized Spline of Propensity Methods for Treatment Comparison
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1518234
Bootstrapping High-Frequency Jump Tests
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1447485
A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1456936
Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1497498
High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1437043
Comment on “Blessings of Multiple Causes”
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1689139
Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1434531
Matrix Completion With Covariate Information
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1389740
Estimation and Identification of a Varying-Coefficient Additive Model for Locally Stationary Processes
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482753
Bayesian Graphical Regression
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1389739
Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1529596
Optimal Permutation Recovery in Permuted Monotone Matrix Model
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2020.1713794
Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482749
PUlasso: High-Dimensional Variable Selection With Presence-Only Data
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1546587
Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482756
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2020.1782223
A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1458619
Toward Computerized Efficient Estimation in Infinite-Dimensional Models
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482752
Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1434529
Bayesian Spectral Modeling for Multiple Time Series
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1520114
Extremiles: A New Perspective on Asymmetric Least Squares
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1498348
Stochastic Quasi-Likelihood for Case-Control Point Pattern Data
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1421543
Minimum Mean Squared Error Estimation of the Radius of Gyration in Small-Angle X-Ray Scattering Experiments
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2017.1408467
Network Dependence Can Lead to Spurious Associations and Invalid Inference
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2020.1782219
Downstream Effects of Upstream Causes
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1574226
Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482750
Estimation of the Boundary of a Variable Observed With Symmetric Error
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1555093
Tuning-Free Heterogeneous Inference in Massive Networks
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1537920
Factor and Idiosyncratic Empirical Processes
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1469997
Discussion of PENCOMP
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1537914
IPAD: Stable Interpretable Forecasting with Knockoffs Inference
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1654878
Bayesian Scalar on Image Regression With Nonignorable Nonresponse
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1686391
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1691008
Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1543120
Choose to Lead
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1661183
Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1442339
Empirical Frequency Band Analysis of Nonstationary Time Series
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1671199
Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1498347
Statistical Data Fusion
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1662245
Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1482757
Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1635477
Joint Indirect Standardization When Only Marginal Distributions are Observed in the Index Population
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2018.1506340
Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al.
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1635478
Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics
来源期刊：Journal of the American Statistical AssociationDOI：10.1080/01621459.2019.1668794
