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  • Search: subject:"Linear Functionals"
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Year of publication
Subject
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Ambiguity 3 constant and decreasing relative ambiguity aversion 3 continuous linear functionals on spaces of sets 3 decision theory 3 descriptive completeness 3 multiple priors 3 zonoids 3 Approximate Sparsity vs. Density 2 Double/De-biased Machine Learning 2 Linear Functionals 2 Regularized Riesz Representers 2 Artificial intelligence 1 Decision theory 1 Decision under uncertainty 1 Dirichlet process mixing 1 Efficiency bounds 1 Endogenous regressors 1 Entscheidung unter Unsicherheit 1 Entscheidungstheorie 1 Erwartungsnutzen 1 Estimation theory 1 Expected utility 1 Forecasting model 1 Künstliche Intelligenz 1 Linear functionals 1 Monte Carlo sampling and integration 1 Nonparametric regression 1 Prognoseverfahren 1 Risikoaversion 1 Risk aversion 1 Schätztheorie 1 linear functionals 1 semiparametric models 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Book / Working Paper 6 Article 1
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 5 Undetermined 2
Author
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Dumav, Martin 3 Stinchcombe, Maxwell B. 3 Chernozhukov, Victor 2 Newey, Whitney K. 2 Robins, James 2 Gelfand, Alan 1 Kottas, Athanasios 1 Severini, Thomas A. 1 Tripathi, Gautam 1
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Institution
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Department of Economics, University of Connecticut 1 Institut für Mathematische Wirtschaftsforschung, Universität Bielefeld 1
Published in...
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Annals of the Institute of Statistical Mathematics 1 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Institute of Mathematical Economics Working Paper 1 Working Papers 1 Working Papers / Institut für Mathematische Wirtschaftsforschung, Universität Bielefeld 1 Working papers / Department of Economics, University of Connecticut 1 Working papers / Universität Bielefeld, Center for Mathematical Economics (IMW) 1 cemmap working paper 1
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Source
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RePEc 3 ECONIS (ZBW) 2 EconStor 2
Showing 1 - 7 of 7
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Double/de-biased machine learning using regularized Riesz representers
Chernozhukov, Victor; Newey, Whitney K.; Robins, James - 2018
We provide adaptive inference methods for linear functionals of L1-regularized linear approximations to the conditional … perturbations of the nuisance parameters, including the Riesz representer for the linear functionals. We use L1-regularized methods … linear functionals as the solution to the orthogonal estimating equations. We establish that under weak assumptions the …
Persistent link: https://www.econbiz.de/10011941446
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Double/de-biased machine learning using regularized Riesz representers
Chernozhukov, Victor; Newey, Whitney K.; Robins, James - 2018
We provide adaptive inference methods for linear functionals of L1-regularized linear approximations to the conditional … perturbations of the nuisance parameters, including the Riesz representer for the linear functionals. We use L1-regularized methods … linear functionals as the solution to the orthogonal estimating equations. We establish that under weak assumptions the …
Persistent link: https://www.econbiz.de/10011804936
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The von Neumann/Morgenstern approach to ambiguity
Dumav, Martin; Stinchcombe, Maxwell B. - 2013
A choice problem is risky (respectively ambiguous) if the decision maker is choosing between probability distributions (respectively sets of probability distributions) over utility relevant consequences. We provide an axiomatic foundation for and a representation of continuous linear preferences...
Persistent link: https://www.econbiz.de/10010319977
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The von Neumann/Morgenstern approach to ambiguity
Dumav, Martin; Stinchcombe, Maxwell B. - Institut für Mathematische Wirtschaftsforschung, … - 2013
A choice problem is risky (respectively ambiguous) if the decision maker is choosing between probability distributions (respectively sets of probability distributions) over utility relevant consequences. We provide an axiomatic foundation for and a representation of continuous linear preferences...
Persistent link: https://www.econbiz.de/10011098616
Saved in:
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The von Neumann/Morgenstern approach to ambiguity
Dumav, Martin; Stinchcombe, Maxwell B. - 2013
A choice problem is risky (respectively ambiguous) if the decision maker is choosing between probability distributions (respectively sets of probability distributions) over utility relevant consequences. We provide an axiomatic foundation for and a representation of continuous linear preferences...
Persistent link: https://www.econbiz.de/10009748628
Saved in:
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Efficiency Bounds for Estimating Linear Functionals of Nonparametric Regression Models with Endogenous Regressors
Tripathi, Gautam; Severini, Thomas A. - Department of Economics, University of Connecticut - 2007
this paper, we derive the efficiency bounds for estimating linear functionals E[p(X)mu*(X)] and int …
Persistent link: https://www.econbiz.de/10005838982
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Nonparametric Bayesian Modeling for Stochastic Order
Gelfand, Alan; Kottas, Athanasios - In: Annals of the Institute of Statistical Mathematics 53 (2001) 4, pp. 865-876
Persistent link: https://www.econbiz.de/10005616334
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