Certainty equivalence and model uncertainty [PDF]
Simon’s and Theil’s certainty equivalence property justifies a convenient algorithm for solving dynamic programming problems with quadratic objectives and linear transition laws: first, optimize under perfect foresight, then substitute optimal forecasts ...
Lars Peter Hansen, Thomas J. Sargent
core
Extending the relational model with uncertainty and ignorance [PDF]
, 2004 It has been widely recognized that in many real-life database applications there is growing demand to model uncertainty and ignorance. However the relational model does not provide this possibility.
Blok, Henk Ernst +2 more
core +1 more source
This paper examines efficient allocations in economies where consumers exhibit heterogeneous smooth ambiguity preferences and face model uncertainty with a common set of identifiable models. Aggregate endowment is ambiguous. We characterize economies where the representative consumer is of the smooth ambiguity type and derive efficient sharing rules ...
Hara, Chiaki +3 more
openaire +2 more sources
Robust Monetary Policy with the Cost Channel [PDF]
Recent research argues that model uncertainty leads the central bank to adjust interest rates stronger to exogenous disturbances than under certainty.
Peter Tillmann
core
Bayesian Model Averaging to Account for Model Uncertainty in Estimates of a Vaccine's Effectiveness. [PDF]
Clin Epidemiol, 2022 Oliveira CR, Shapiro ED, Weinberger DM.
europepmc +1 more source
Effect of model space priors on statistical inference with model uncertainty. [PDF]
N Engl J Stat Data Sci, 2023 Porwal A, Raftery AE.
europepmc +1 more source
Comparing methods for statistical inference with model uncertainty. [PDF]
Proc Natl Acad Sci U S A, 2022 Porwal A, Raftery AE.
europepmc +1 more source
A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises. [PDF]
Sensors (Basel), 2023 Ye X, Wang J, Wu D, Zhang Y, Li B.
europepmc +1 more source
Context-dependent representation of within- and between-model uncertainty: aggregating probabilistic predictions in infectious disease epidemiology. [PDF]
J R Soc Interface, 2023 Howerton E +11 more
europepmc +1 more source
On the Quantification of Model Uncertainty: A Bayesian Perspective. [PDF]
Psychometrika, 2021 Kaplan D.
europepmc +1 more source