Results 141 to 150 of about 2,535,602 (380)
Perfect Regular Equilibrium [PDF]
We propose a revised version of the perfect Bayesian equilibrium in general multi-period games with observed actions. In finite games, perfect Bayesian equilibria are weakly consistent and subgame perfect Nash equilibria.
hanjoon michael, jung/j
core +1 more source
Collective animal behavior from Bayesian estimation and probability matching.
PLoS Computational Biology, 2011 Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is mainly based on empirical fits to observations, with ...
Alfonso Pérez-Escudero +1 more
doaj +1 more source
A Bayesian probability approach to predicting student performance in introductory computer science courses [PDF]
, 1989 Diana Wiig
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Labor shortages and farmer adaptation strategies
Applied Economic Perspectives and Policy, EarlyView.Abstract Labor shortages are a growing challenge for U.S. agricultural producers, but little is known about farmers' adaptation strategies. We estimate the statistical relationship between farm labor shortages and adaptation strategies among California farmers.
Myat Thida Win +2 more
wiley +1 more source
QUANTUM MECHANICS AS BAYESIAN COMPLEX PROBABILITY THEORY [PDF]
, 1994 S. Youssef
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Mexican consumers' attitudes toward irradiated and imported apples
Agribusiness, EarlyView.Abstract This study centers on analyzing Mexican consumers' willingness to pay (WTP) for imported US fresh apples subjected to irradiation, contrasting it with the more prevalent postharvest chemical treatments. We collect data using a survey tool in Qualtrics designed to explore the impact of information dissemination through two distinct narrative ...
André D. Murray +2 more
wiley +1 more source
Propagating imprecise probabilities in Bayesian networks
Artificial Intelligence, 1996 AbstractOften experts are incapable of providing “exact” probabilities; likewise, samples on which the probabilities in networks are based must often be small and preliminary. In such cases the probabilities in the networks are imprecise. The imprecision can be handled by second order probability distributions. It is convenient to use beta or Dirichlet
openaire +1 more source
IEEE AccessAssessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties.
Shuangqing Chen +6 more
doaj +1 more source
Human online adaptation to changes in prior probability.
PLoS Computational Biology, 2019 Optimal sensory decision-making requires the combination of uncertain sensory signals with prior expectations. The effect of prior probability is often described as a shift in the decision criterion. Can observers track sudden changes in probability?
Elyse H Norton +3 more
doaj +1 more source
Parametric structure of probabilities in Bayesian networks [PDF]
, 1995 Enrique Castillo +2 more
openalex +1 more source