Results 51 to 60 of about 40,175 (220)

Teaching Bayes' Theorem: Strength of Evidence As Predictive Accuracy

open access: yes, 2018
Although teaching Bayes' theorem is popular, the standard approach---targeting posterior distributions of parameters---may be improved. We advocate teaching Bayes' theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals ...
Richard D. Morey, Jeffrey N. Rouder
core   +1 more source

A modified Bayes’ theorem for reliable conformity assessment in industrial metrology

open access: yes, 2021
Numerous papers in the literature recommend the use of Bayes’ theorem to merge the available a priori knowledge about a measurand with the measurement result associated to the measurand itself. The obtained a posteriori value should be used in conformity
Ferrero, Alessandro   +2 more
core   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield   +1 more
wiley   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim   +3 more
wiley   +1 more source

Assessing the Effects of Biodiesel Production on Sustainability: A Bayesian Two‐Stage Data Envelopment Analysis Approach

open access: yesSustainable Development, EarlyView.
ABSTRACT Sustainable development transforms production systems, requiring integrated environmental, social, and economic strategies. Energy systems are key agro‐industrial supply chains in developing countries. Brazil's soybean supply chain impacts Gross Domestic Product, mainly through exports.
Aline Veronese da Silva   +3 more
wiley   +1 more source

Bayes' theorem and quantum retrodiction

open access: yes, 2000
We derive on the basis of Bayes' theorem a simple but general expression for the retrodicted premeasurement state associated with the result of any measurement.
Barnett, SM.   +4 more
core   +1 more source

Water‐Energy Nexus: Benchmarking the Energy Efficiency of Drinking Water Treatment Plants Accounting for Heterogeneity

open access: yesSustainable Development, EarlyView.
ABSTRACT The assessment of energy efficiency in water facilities is receiving increasing attention as a key strategy in the transition toward an energy‐neutral urban water cycle. This study evaluates the energy efficiency of 146 drinking water treatment plants (DWTPs) in Chile by applying a latent class stochastic frontier analysis (LCSFA) to account ...
Alexandros Maziotis   +1 more
wiley   +1 more source

How digital platforms affect local entrepreneurial activities: Evidence from the staggered entry of craigslist

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Access to markets is critical for entrepreneurial success, yet many face significant barriers. This study argues that digital platforms functioning as peer‐to‐peer marketplaces can facilitate entrepreneurial activity by improving market access for new ventures.
Daehyun Kim, Yongwook Paik, Namil Kim
wiley   +1 more source

An Introduction to Predictive Processing Models of Perception and Decision‐Making

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley   +1 more source

Decoding α‐MoC1−x Nanoparticle Formation in Continuous Flow via Machine Learning

open access: yesSmall, EarlyView.
Formation pathway of α‐MoC1−x nanoparticles synthesized from oleylamine‐Mo(CO)6 precursor under mild continuous‐flow conditions was investigated. By combining in‐line spectroscopic monitoring with a machine learning (ML) framework capable of deconvoluting complex, overlapping spectral features, we reveal mechanistic details of early‐transition‐metal ...
Bin Pan   +7 more
wiley   +1 more source

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