
Removing the Curse of Superefficiency: an Effective Strategy For Distributed Computing in Isotonic Regression
We propose a strategy for computing the isotonic leastsquares estimate ...
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Change Point Estimation in a Dynamic Stochastic Block Model
We consider the problem of estimating the location of a single change po...
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NonStandard Asymptotics in High Dimensions: Manski's Maximum Score Estimator Revisited
Manski's celebrated maximum score estimator for the binary choice model ...
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Change Point Estimation in Panel Data with Temporal and Crosssectional Dependence
We study the problem of detecting a common change point in large panel d...
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Inference In General SingleIndex Models Under Highdimensional Symmetric Designs
We consider the problem of statistical inference for a finite number of ...
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CommunicationEfficient Integrative Regression in HighDimensions
We consider the task of metaanalysis in highdimensional settings in wh...
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Asymptotic normality of a linear threshold estimator in fixed dimension with nearoptimal rate
Linear thresholding models postulate that the conditional distribution o...
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Minimax optimal approaches to the label shift problem
We study minimax rates of convergence in the label shift problem. In add...
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Moulinath Banerjee
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