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Robust Nonparametric Regression and Modality
2003The paper considers the problem of nonparametric regression with emphasis on controlling the number of local extremes and on resistance against patches of outliers. The robust taut string method is introduced and robustness properties are discussed. An automatic procedure is described.
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Bayesian Robustness and Bayesian Nonparametrics
2000Bayesian robustness studies the sensitivity of Bayesian answers to user inputs, especially to the specification of the prior. Nonparametric Bayesian models, on the other hand, refrain from specifying a specific prior functional form P, but instead assume a second-level hyperprior on P with support on a suitable space of probability measures ...
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Essays in Econometrics: Nonparametrics and Robustness
2021This thesis consists of three chapters. In each chapter I consider a particular problem in econometrics with implications for applied research, and in each case I attempt to solve that problem. In Chapter 1 I consider the task of inferring causal effects when only `proxy controls' are available.
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Robustness of Statistical Methods and Nonparametric Statistics.
Journal of the Royal Statistical Society. Series A (General), 1987Eric Ziegel, D. Rasch, M. Tiku
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On the robustness to symmetry of some nonparametric multivariate one-sample sign-type tests
Journal of Statistical Computation and Simulation, 2016S Chakraborti
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Robustness of Nonparametric Predictive Inference for Future Order Statistics
Journal of Statistical Theory and Practice, 2018Frank P A Coolen, Coolen Frank P A
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On Robustness of Model-Based Bootstrap Schemes in Nonparametric Time Series Analysis
Statistics, 2002Michael H Neumann
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DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot
Journal of the American Statistical Association, 2012Juan A Cuesta-Albertos, Regina Y Liu
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