Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287155287> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4287155287 abstract "Simulation models, in particular agent-based models, are gaining popularity in economics. The considerable flexibility they offer, as well as their capacity to reproduce a variety of empirically observed behaviours of complex systems, give them broad appeal, and the increasing availability of cheap computing power has made their use feasible. Yet a widespread adoption in real-world modelling and decision-making scenarios has been hindered by the difficulty of performing parameter estimation for such models. In general, simulation models lack a tractable likelihood function, which precludes a straightforward application of standard statistical inference techniques. Several recent works have sought to address this problem through the application of likelihood-free inference techniques, in which parameter estimates are determined by performing some form of comparison between the observed data and simulation output. However, these approaches are (a) founded on restrictive assumptions, and/or (b) typically require many hundreds of thousands of simulations. These qualities make them unsuitable for large-scale simulations in economics and can cast doubt on the validity of these inference methods in such scenarios. In this paper, we investigate the efficacy of two classes of black-box approximate Bayesian inference methods that have recently drawn significant attention within the probabilistic machine learning community: neural posterior estimation and neural density ratio estimation. We present benchmarking experiments in which we demonstrate that neural network based black-box methods provide state of the art parameter inference for economic simulation models, and crucially are compatible with generic multivariate time-series data. In addition, we suggest appropriate assessment criteria for future benchmarking of approximate Bayesian inference procedures for economic simulation models." @default.
- W4287155287 created "2022-07-25" @default.
- W4287155287 creator A5006492439 @default.
- W4287155287 creator A5008046632 @default.
- W4287155287 creator A5019087210 @default.
- W4287155287 creator A5051873130 @default.
- W4287155287 date "2022-02-01" @default.
- W4287155287 modified "2023-10-18" @default.
- W4287155287 title "Black-box Bayesian inference for economic agent-based models" @default.
- W4287155287 doi "https://doi.org/10.48550/arxiv.2202.00625" @default.
- W4287155287 hasPublicationYear "2022" @default.
- W4287155287 type Work @default.
- W4287155287 citedByCount "1" @default.
- W4287155287 countsByYear W42871552872022 @default.
- W4287155287 crossrefType "posted-content" @default.
- W4287155287 hasAuthorship W4287155287A5006492439 @default.
- W4287155287 hasAuthorship W4287155287A5008046632 @default.
- W4287155287 hasAuthorship W4287155287A5019087210 @default.
- W4287155287 hasAuthorship W4287155287A5051873130 @default.
- W4287155287 hasBestOaLocation W42871552871 @default.
- W4287155287 hasConcept C105795698 @default.
- W4287155287 hasConcept C107673813 @default.
- W4287155287 hasConcept C119857082 @default.
- W4287155287 hasConcept C124101348 @default.
- W4287155287 hasConcept C149782125 @default.
- W4287155287 hasConcept C154945302 @default.
- W4287155287 hasConcept C160234255 @default.
- W4287155287 hasConcept C162324750 @default.
- W4287155287 hasConcept C162376815 @default.
- W4287155287 hasConcept C187736073 @default.
- W4287155287 hasConcept C2776214188 @default.
- W4287155287 hasConcept C2780598303 @default.
- W4287155287 hasConcept C33923547 @default.
- W4287155287 hasConcept C41008148 @default.
- W4287155287 hasConcept C50644808 @default.
- W4287155287 hasConcept C86251818 @default.
- W4287155287 hasConcept C94966114 @default.
- W4287155287 hasConceptScore W4287155287C105795698 @default.
- W4287155287 hasConceptScore W4287155287C107673813 @default.
- W4287155287 hasConceptScore W4287155287C119857082 @default.
- W4287155287 hasConceptScore W4287155287C124101348 @default.
- W4287155287 hasConceptScore W4287155287C149782125 @default.
- W4287155287 hasConceptScore W4287155287C154945302 @default.
- W4287155287 hasConceptScore W4287155287C160234255 @default.
- W4287155287 hasConceptScore W4287155287C162324750 @default.
- W4287155287 hasConceptScore W4287155287C162376815 @default.
- W4287155287 hasConceptScore W4287155287C187736073 @default.
- W4287155287 hasConceptScore W4287155287C2776214188 @default.
- W4287155287 hasConceptScore W4287155287C2780598303 @default.
- W4287155287 hasConceptScore W4287155287C33923547 @default.
- W4287155287 hasConceptScore W4287155287C41008148 @default.
- W4287155287 hasConceptScore W4287155287C50644808 @default.
- W4287155287 hasConceptScore W4287155287C86251818 @default.
- W4287155287 hasConceptScore W4287155287C94966114 @default.
- W4287155287 hasLocation W42871552871 @default.
- W4287155287 hasOpenAccess W4287155287 @default.
- W4287155287 hasPrimaryLocation W42871552871 @default.
- W4287155287 hasRelatedWork W2290754432 @default.
- W4287155287 hasRelatedWork W2789413038 @default.
- W4287155287 hasRelatedWork W2920875617 @default.
- W4287155287 hasRelatedWork W2963152684 @default.
- W4287155287 hasRelatedWork W3124023584 @default.
- W4287155287 hasRelatedWork W3129629597 @default.
- W4287155287 hasRelatedWork W3131352612 @default.
- W4287155287 hasRelatedWork W3145488977 @default.
- W4287155287 hasRelatedWork W4213087387 @default.
- W4287155287 hasRelatedWork W4231471330 @default.
- W4287155287 isParatext "false" @default.
- W4287155287 isRetracted "false" @default.
- W4287155287 workType "article" @default.