Results 31 to 40 of about 348,082 (329)
The Effects of Working Memory and Probability Format on Bayesian Reasoning
Bayesian reasoning is common and critical in everyday life while the performance on Bayesian reasoning is rather poor. Previous studies showed that people could enhance their performance by applying cognitive resources under the natural frequency format ...
Lin Yin+5 more
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Fault diagnosis of mine drainage system based on fuzzy Bayesian network
The mine drainage system is developing towards automation and intelligence. The system's structure and function are becoming more and more complex, and the abnormal function and failure of a single component may cause the failure of the whole system. The
SHI Xiaojuan, YAO Bing, GU Huabei
doaj +1 more source
Randomization-based, Bayesian inference of causal effects
Bayesian causal inference in randomized experiments usually imposes model-based structure on potential outcomes. Yet causal inferences from randomized experiments are especially credible because they depend on a known assignment process, not a ...
Leavitt Thomas
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Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration‐time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian
Kazutaka Oda+9 more
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If we accept Savage's set of axioms, then all uncertainties must be treated like ordinary probability. Savage espoused subjective probability, allowing, for example, the probability of Donald Trump's re-election. But Savage's probability also covers the objective version, such as the probability of heads in a fair toss of a coin.
arxiv
Market Structure and Competition in the Indian Microfinance Sector
Executive Summary The Indian microfinance sector has experienced fundamental changes in the structure of ownership and management of microfinance institutions (MFIs).
Nitin Navin, Pankaj Sinha
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A Bayesian Posterior Probability Is the Real Replication Probability [PDF]
Gibson (2020) seeks to tackle a difficult and persistent problem in clinical research and indeed the scientific community as a whole—what is the strength of evidence for a scientific hypothesis bas...
openaire +2 more sources
Dependent Bayesian Lenses: Categories of Bidirectional Markov Kernels with Canonical Bayesian Inversion [PDF]
We generalise an existing construction of Bayesian Lenses to admit lenses between pairs of objects where the backwards object is dependent on states on the forwards object (interpreted as probability distributions). This gives a natural setting for studying stochastic maps with Bayesian inverses restricted to the points supported by a given prior.
arxiv
Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modelling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design ...
Moritz eBoos+3 more
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Twin neural network regression
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel+3 more
wiley +1 more source