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Journal Of The American Statistical Association
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Honest Confidence Sets for High-Dimensional Regression by Projection and ShrinkageJournal of the American Statistical Association, 2023-01, Vol.118 (541), p.469-488 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1938581Digital Resources/Online E-Resources |
| 2 |
Material Type: Article
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Stochastic Gradient Markov Chain Monte CarloJournal of the American Statistical Association, 2021-03, Vol.116 (533), p.433-450 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1847120Digital Resources/Online E-Resources |
| 3 |
Material Type: Article
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Differential Privacy for Government Agencies-Are We There Yet?Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.761-773 [Peer Reviewed Journal]2023 The Author(s). Published with license by Taylor & Francis Group, LLC. 2023 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2022.2161385Digital Resources/Online E-Resources |
| 4 |
Material Type: Article
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Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and OutcomesJournal of the American Statistical Association, 2018-04, Vol.113 (522), p.933-947 [Peer Reviewed Journal]2018 The Authors. Published with License by Taylor & Francis. 2018 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2018.1434530Digital Resources/Online E-Resources |
| 5 |
Material Type: Article
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On the Null Distribution of Bayes Factors in Linear RegressionJournal of the American Statistical Association, 2018-01, Vol.113 (523), p.1362-1371 [Peer Reviewed Journal]2018 The Author(s). Published with license by Taylor & Francis © Quan Zhou and Yongtao Guan 2018 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2017.1328361Digital Resources/Online E-Resources |
| 6 |
Material Type: Article
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Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated NoiseJournal of the American Statistical Association, 2022-10, Vol.117 (540), p.2147-2162 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;Attribution ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1909598Digital Resources/Online E-Resources |
| 7 |
Material Type: Article
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Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping ListsJournal of the American Statistical Association, 2021-07, Vol.116 (535), p.1297-1306 [Peer Reviewed Journal]2020 The Author(s). Published with license by Taylor & Francis Group, LLC. 2020 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2019.1708748Digital Resources/Online E-Resources |
| 8 |
Material Type: Article
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Trends in Extreme Value IndicesJournal of the American Statistical Association, 2021-07, Vol.116 (535), p.1265-1279 [Peer Reviewed Journal]2020 The Author(s). Published with license by Taylor & Francis Group, LLC. 2020 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2019.1705307Digital Resources/Online E-Resources |
| 9 |
Material Type: Article
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Smoothing With Couplings of Conditional Particle FiltersJournal of the American Statistical Association, 2020-04, Vol.115 (530), p.721 [Peer Reviewed Journal]ISSN: 0162-1459 ;ISSN: 1537-274X ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2018.1548856Digital Resources/Online E-Resources |
| 10 |
Material Type: Article
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Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical ModelsJournal of the American Statistical Association, 2023-04, Vol.118 (542), p.1345-1358 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1996377Digital Resources/Online E-Resources |
| 11 |
Material Type: Article
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Modeling Network Populations via Graph DistancesJournal of the American Statistical Association, 2021-10, Vol.116 (536), p.2023-2040 [Peer Reviewed Journal]2020 The Author(s). Published with license by Taylor & Francis Group, LLC. 2020 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1763803Digital Resources/Online E-Resources |
| 12 |
Material Type: Article
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Local dependence in random graph models: characterization, properties and statistical inferenceJournal of the Royal Statistical Society. Series B, Statistical methodology, 2015-06, Vol.77 (3), p.647-676 [Peer Reviewed Journal]Copyright © 2015 The Royal Statistical Society and Blackwell Publishing Ltd. ;2014 Royal Statistical Society ;Copyright © 2015 The Royal Statistical Society and Blackwell Publishing Ltd ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/rssb.12081Full text available |
| 13 |
Material Type: Article
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Fast, Optimal, and Targeted Predictions Using Parameterized Decision AnalysisJournal of the American Statistical Association, 2022-10, Vol.117 (540), p.1875-1886 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1891926Digital Resources/Online E-Resources |
| 14 |
Material Type: Article
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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random DesignsJournal of the American Statistical Association, 2023-04, Vol.118 (542), p.858-868 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1956501Digital Resources/Online E-Resources |
| 15 |
Material Type: Article
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Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small AreasJournal of the American Statistical Association, 2023-01, Vol.118 (541), p.583-595 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1942014Digital Resources/Online E-Resources |
| 16 |
Material Type: Article
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Generalized Bayes Quantification Learning under Dataset ShiftJournal of the American Statistical Association, 2022-10, Vol.117 (540), p.2163-2181 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1909599Digital Resources/Online E-Resources |
| 17 |
Material Type: Article
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On Characterizations and Tests of Benford's LawJournal of the American Statistical Association, 2022-10, Vol.117 (540), p.1887-1903 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1891927Digital Resources/Online E-Resources |
| 18 |
Material Type: Article
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The impact of churn on client value in health insurance, evaluation using a random forest under various censoring mechanismsJournal of the American Statistical Association, 2021-10, p.1-12 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2020.1764364Digital Resources/Online E-Resources |
| 19 |
Material Type: Article
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Filtering the Rejection Set While Preserving False Discovery Rate ControlJournal of the American Statistical Association, 2023, Vol.118 (541), p.165-176 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1920958Digital Resources/Online E-Resources |
| 20 |
Material Type: Article
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Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic DataJournal of the American Statistical Association, 2023-04, Vol.118 (542), p.1373-1384 [Peer Reviewed Journal]2021 The Author(s). Published with license by Taylor & Francis Group, LLC. 2021 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2021.1996379Digital Resources/Online E-Resources |
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