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Annals of Statistics

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Journal Papers 3454
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DISTRIBUTIONALLY ROBUST LEARNING FOR MULTISOURCE UNSUPERVISED DOMAIN ADAPTATION
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deleteWang, Zhenyu; Buhlmann, Peter; Guo, Zijian
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PARAMETER IDENTIFICATION IN LINEAR NON-GAUSSIAN CAUSAL MODELS UNDER GENERAL CONFOUNDING
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deleteTramontano, Daniele; Drton, Mathias; Etesami, Jalal
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OBJECT DETECTION UNDER THE LINEAR SUBSPACE MODEL WITH APPLICATION TO CRYO-EM IMAGES
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deleteWaknin, Keren Mor; Eldar, Amitay; Davenport, Samuel; Bendory, Tamir; Schwartzman, Armin; Shkolnisky, Yoel
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EIGENVECTOR OVERLAPS IN LARGE SAMPLE COVARIANCE MATRICES AND NONLINEAR SHRINKAGE ESTIMATORS
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deleteLin, Zeqin; Pan, Guangming
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SCALABLE INFERENCE FOR NONPARAMETRIC STOCHASTIC APPROXIMATION IN REPRODUCING KERNEL HILBERT SPACES
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deleteLiu, Meimei; Shang, Zuofeng; Yang, Yun
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SPECTRUM-AWARE DEBIASING: A MODERN INFERENCE FRAMEWORK WITH APPLICATIONS TO PRINCIPAL COMPONENTS REGRESSION
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deleteLi, Yufan; Sur, Pragya
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PCA FOR POINT PROCESSES
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deletePicard, Franck; Rivoirard, Vincent; Roche, Angelina; Panaretos, Victor M.
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ADAPTIVE BAYESIAN REGRESSION ON DATA WITH LOW INTRINSIC DIMENSIONALITY
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deleteTang, Tao; Wu, Nan; Cheng, Xiuyuan; Dunson, David
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ESTIMATION OF GROUPED TIME-VARYING NETWORK VECTOR AUTOREGRESSIVE MODELS
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deleteLi, Degui; Peng, Bin; Tang, Songqiao; Wu, Weibiao
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REVIVING PSEUDO-INVERSES: ASYMPTOTIC PROPERTIES OF LARGE DIMENSIONAL MOORE-PENROSE AND RIDGE-TYPE INVERSES WITH APPLICATIONS
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deleteBodnar, Taras; Parolya, Nestor
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FINITE-AND LARGE SAMPLE INFERENCE FOR MODEL AND COEFFICIENTS IN HIGH-DIMENSIONAL LINEAR REGRESSION WITH REPRO SAMPLES
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deleteWang, Peng; Xie, Min-ge; Zhang, Linjun
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GENERALIZED LINEAR SPECTRAL STATISTICS OF HIGH-DIMENSIONAL SAMPLE COVARIANCE MATRICES AND ITS APPLICATIONS
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deleteHu, Yanlin; Yang, Qing; Han, Xiao
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LARGE-SCALE MULTIPLE TESTING: FUNDAMENTAL LIMITS OF FALSE DISCOVERY RATE CONTROL AND COMPOUND ORACLE
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deleteNie, Yutong; Wu, Yihong
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PRECISE ASYMPTOTICS OF BAGGING REGULARIZED M-ESTIMATORS
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deleteKoriyama, Takuya; Patil, Pratik; Du, Jin-Hong; Tan, Kai; Bellec, Pierre C.
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GENERALIZED MULTILINEAR MODELS FOR SUFFICIENT DIMENSION REDUCTION ON TENSOR-VALUED PREDICTORS
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deleteKapla, Daniel; Bura, Efstathia
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VERSATILE DIFFERENTIALLY PRIVATE LEARNING FOR GENERAL LOSS FUNCTIONS
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deleteLu, Qilong; Chen, Song Xi; Qiu, Yumou
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INFERRING THE DEPENDENCE GRAPH DENSITY OF BINARY GRAPHICAL MODELS IN HIGH DIMENSION
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deleteChevallier, Julien; Locherbach, Eva; Ost, Guilherme
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ANALYSIS OF SINGULAR SUBSPACES UNDER RANDOM PERTURBATIONS
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deleteWang, Ke
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THE DISTRIBUTIONALLY ROBUST PREDICTION ERROR OF THE √ LASSO AND RELATED ESTIMATORS
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deleteMontiel Olea, Jose Luis; Rush, Cynthia; Velez, Amilcar; Wiesel, Johannes
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RANK TESTS FOR PCA UNDER WEAK IDENTIFIABILITY
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deletePaindaveine, Davy; Maroto, Laura Peralvo; Verdebout, Thomas
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