Results 1 to 10 of about 36,367 (150)

Monologues, dialogues, and common priors

Theoretical Economics, 2022
The main purpose of this paper is to provide a simple criterion enabling to conclude that two agents do not share a common prior. The criterion is simple, as it does not require information about the agents' knowledge and beliefs, but rather only the record of a dialogue between the agents.
Di Tillio, Alfredo, Lehrer, Ehud, Samet, Dov   +2 more
openaire   +2 more sources

Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution

Ecosphere, 2021
Bayesian data analysis is increasingly used in ecology, but prior specification remains focused on choosing non‐informative priors (e.g., flat or vague priors).
Jeff S. Wesner, Justin P. F. Pomeranz
doaj   +1 more source

How common are common priors? [PDF]

Games and Economic Behavior, 2012
Abstract To answer the question in the title we vary agentsʼ beliefs against the background of a fixed knowledge space, that is, a state space with a partition for each agent. Beliefs are the posterior probabilities of agents, which we call type profiles.
Ziv Hellman, Dov Samet
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Tree biomass estimation of Chinese fir (Cunninghamia lanceolata) based on Bayesian method. [PDF]

PLoS ONE, 2013
Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) is the most important conifer species for timber production with huge distribution area in southern China.
Xiongqing Zhang, Aiguo Duan, Jianguo Zhang   +2 more
doaj   +1 more source

On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks

Entropy, 2021
In recent years, neural network based image priors have been shown to be highly effective for linear inverse problems, often significantly outperforming conventional methods that are based on sparsity and related notions.
Yang Sun, Hangdong Zhao, Jonathan Scarlett   +2 more
doaj   +1 more source

Signaling Without Common Prior: An Experiment [PDF]

SSRN Electronic Journal, 2009
The common prior assumption is pervasive in game-theoretic models with incomplete information. This paper investigates experimentally the importance of inducing a common prior in a two-person signaling game. For a specific probability distribution of the sender’s type, the long-run behavior without an induced common prior is shown to be different from ...
Drouvelis, M., Müller, W., Possajennikov, A.   +2 more
openaire   +6 more sources

On the use of prior distributions in bayesian inference applied to Ecology: an ecological example using binomial proportions in exotic plants, Central Chile

Revista Chilena de Historia Natural, 2023
Background The use of Bayesian inference (BI) is a common methodology for data analysis in Ecology and Evolution. This statistical approach is particularly useful in cases which information is scarce, because allows formalizing sources of information ...
Ramiro O. Bustamante, Andrés Iturriaga, Sandra Flores-Alvarado, Rafael A. García, Estefany Goncalves   +4 more
doaj   +1 more source

The Bayesian Posterior and Marginal Densities of the Hierarchical Gamma–Gamma, Gamma–Inverse Gamma, Inverse Gamma–Gamma, and Inverse Gamma–Inverse Gamma Models with Conjugate Priors

Mathematics, 2022
Positive, continuous, and right-skewed data are fit by a mixture of gamma and inverse gamma distributions. For 16 hierarchical models of gamma and inverse gamma distributions, there are only 8 of them that have conjugate priors.
Li Zhang, Ying-Ying Zhang
doaj   +1 more source

Inpainting larger missing regions via progressive guidance decoding network

Complex & Intelligent Systems, 2023
For images corrupted for various reasons, the size of the corrupted area is often arbitrary and it has been a challenge to inpainting the larger missing areas.
Xiucheng Dong, Jinyang Jiang, Shuang Hou, Chencheng Yang   +3 more
doaj   +1 more source

Refining Planning for Stereoelectroencephalography: A Prospective Validation of Spatial Priors for Computer-Assisted Planning With Application of Dynamic Learning

Frontiers in Neurology, 2020
Objective: Stereoelectroencephalography (SEEG) is a procedure in which many electrodes are stereotactically implanted within different regions of the brain to estimate the epileptogenic zone in patients with drug-refractory focal epilepsy.
Vejay N. Vakharia, Vejay N. Vakharia, Vejay N. Vakharia, Rachel E. Sparks, Alejandro Granados, Anna Miserocchi, Anna Miserocchi, Anna Miserocchi, Andrew W. McEvoy, Andrew W. McEvoy, Andrew W. McEvoy, Sebastien Ourselin, John S. Duncan, John S. Duncan, John S. Duncan   +14 more
doaj   +1 more source