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Journal of the American Statistical Association

Journal of the American Statistical Association
紙記録メディアデジタル雑誌
Taylor & Francis Group<Z53-N59>
国立国会図書館全国の図書館
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Low-Rank Regression Models for Multiple Binary Responses and their Applications to Cancer Cell-Line Encyclopedia Data

Low-Rank Regression Models for Multiple Binary Responses and their Applications to Cancer Cell-Line Encyclopedia Data
デジタル記事
2022-09-20Journal of the American Statistical Associationp.1-15
全国の図書館
  • DOI10.1080/01621459.2022.2105704
  • 掲載誌（ISSN）01621459

Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA

Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA
デジタル記事
2022-04-20Journal of the American Statistical Association118 543p.1923-1939
全国の図書館
  • DOI10.1080/01621459.2021.2021921
  • 掲載誌（ISSN）01621459

Query-Augmented Active Metric Learning

Query-Augmented Active Metric Learning
デジタル記事
2022-01-28Journal of the American Statistical Association118 543p.1862-1875
全国の図書館
  • DOI10.1080/01621459.2021.2019045
  • 掲載誌（ISSN）01621459

Inference for High-Dimensional Exchangeable Arrays

Inference for High-Dimensional Exchangeable Arrays
デジタル記事
2021-12-21Journal of the American Statistical Association118 543p.1595-1605
全国の図書館
  • DOI10.1080/01621459.2021.2000868
  • 掲載誌（ISSN）01621459

Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring

Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring
デジタル記事
2021-11-30Journal of the American Statistical Association118 542p.1282-1294
全国の図書館
  • DOI10.1080/01621459.2021.1990766
  • 掲載誌（ISSN）01621459

Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies

Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies
デジタル記事
2021-09-01Journal of the American Statistical Association118 542p.846-857
全国の図書館
  • DOI10.1080/01621459.2021.1955691
  • 掲載誌（ISSN）01621459

Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages

Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
デジタル記事
2021-08-09Journal of the American Statistical Association118 541p.571-582
全国の図書館
  • DOI10.1080/01621459.2021.1942013
  • 掲載誌（ISSN）01621459

The Augmented Synthetic Control Method

The Augmented Synthetic Control Method
デジタル記事
2021-07-29Journal of the American Statistical Association116 536p.1789-1803
全国の図書館
  • DOI10.1080/01621459.2021.1929245
  • 掲載誌（ISSN）01621459

Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities

Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities
デジタル記事
2021-07-23Journal of the American Statistical Association117 537p.82-93
インターネットで読める全国の図書館
  • DOI10.1080/01621459.2021.1928512
  • 掲載誌（ISSN）01621459

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
デジタル記事
2021-06-01Journal of the American Statistical Association116 536p.1849-1864
全国の図書館
  • DOI10.1080/01621459.2021.1920957
  • 掲載誌（ISSN）01621459

Deep Compositional Spatial Models

Deep Compositional Spatial Models
デジタル記事
2021-04-08Journal of the American Statistical Association117 540p.1787-1808
全国の図書館
  • DOI10.1080/01621459.2021.1887741
  • 掲載誌（ISSN）01621459

Variational Bayes for High-Dimensional Linear Regression With Sparse Priors

Variational Bayes for High-Dimensional Linear Regression With Sparse Priors
デジタル記事
2021-01-14Journal of the American Statistical Association117 539p.1270-1281
全国の図書館
  • DOI10.1080/01621459.2020.1847121
  • 掲載誌（ISSN）01621459

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior
デジタル記事
2020-11-12Journal of the American Statistical Association117 538p.862-874
全国の図書館
  • DOI10.1080/01621459.2020.1825449
  • 掲載誌（ISSN）01621459

Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models

Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models
デジタル記事
2020-09-08Journal of the American Statistical Association116 535p.1373-1382
全国の図書館
  • DOI10.1080/01621459.2020.1722676
  • 掲載誌（ISSN）01621459

Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments

Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments
デジタル記事
2020-07-24Journal of the American Statistical Association116 534p.632-644
全国の図書館
  • DOI10.1080/01621459.2020.1775612
  • 掲載誌（ISSN）01621459

Grouped Heterogeneous Mixture Modeling for Clustered Data

Grouped Heterogeneous Mixture Modeling for Clustered Data
デジタル記事
2020-07-20Journal of the American Statistical Association116 534p.999-1010
全国の図書館
  • DOI10.1080/01621459.2020.1777136
  • 掲載誌（ISSN）01621459

Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks
デジタル記事
2020-06-30Journal of the American Statistical Association116 534p.901-918
全国の図書館
  • DOI10.1080/01621459.2020.1768100
  • 掲載誌（ISSN）01621459

Separable Effects for Causal Inference in the Presence of Competing Events

Separable Effects for Causal Inference in the Presence of Competing Events
デジタル記事
2020-06-24Journal of the American Statistical Association117 537p.175-183
全国の図書館
  • DOI10.1080/01621459.2020.1765783
  • 掲載誌（ISSN）01621459

A New Coefficient of Correlation

A New Coefficient of Correlation
デジタル記事
2020-05-28Journal of the American Statistical Association116 536p.2009-2022
全国の図書館
  • DOI10.1080/01621459.2020.1758115
  • 掲載誌（ISSN）01621459