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Meta dynamic pricing : transfer learning across experiments
Bastani, Hamsa; Simchi-Levi, David; Zhu, Ruihao - In: Management science : journal of the Institute for … 68 (2022) 3, pp. 1865-1881
Persistent link: https://www.econbiz.de/10013260202
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Optimistic posterior sampling for reinforcement learning : worst-case regret bounds
Agrawal, Shipra; Jia, Randy - In: Mathematics of operations research 48 (2023) 1, pp. 363-392
Persistent link: https://www.econbiz.de/10014312555
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Fast multi-output relevance vector regression
Ha, Youngmin; Zhang, Hai - In: Economic modelling 81 (2019), pp. 217-230
Persistent link: https://www.econbiz.de/10012201949
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Empirical hierarchical modelling for count data using the spatial random effects model
Sengupta, Aritra; Cressie, Noel A. C. - In: Spatial economic analysis : the journal of the Regional … 8 (2013) 3, pp. 389-418
Persistent link: https://www.econbiz.de/10010202694
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Choosing among regularized estimators in empirical economics : the risk of machine learning
Abadie, Alberto; Kasy, Maximilian - In: The review of economics and statistics 101 (2019) 5, pp. 743-762
Persistent link: https://www.econbiz.de/10012208803
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Living and learning : reproducing beliefs in selective experience
Elwin, Ebba - In: Journal of behavioral decision making 26 (2013) 4, pp. 327-337
Persistent link: https://www.econbiz.de/10010196972
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Learning by convex combination
Flores-Szwagrzak, Karol - 2022
Persistent link: https://www.econbiz.de/10014430955
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Learning to optimize via posterior sampling
Russo, Daniel; Van Roy, Benjamin - In: Mathematics of operations research 39 (2014) 4, pp. 1221-1243
Persistent link: https://www.econbiz.de/10010462145
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Importance Sampling Squared for Bayesian Inference in Latent Variable Models
Tran, Minh-Ngoc - 2014
We consider Bayesian inference by importance sampling when the likelihood is analytically intractable but can be … unbiasedly estimated. We refer to this procedure as importance sampling squared (IS2), as we can often estimate the likelihood … itself by importance sampling. We provide a formal justification for importance sampling when working with an estimate of the …
Persistent link: https://www.econbiz.de/10013059994
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Sampling hierarchies of discrete random structures
Lijoi, Antonio; Prünster, Igor; Rigon, Tommaso - 2020
Persistent link: https://www.econbiz.de/10012512412