Tag: Bayesian probability
VaR-constrained S-shaped utility problem has a critical wealth threshold
What the study found The study finds a critical wealth level that determines whether the constrained optimization problem is feasible. Above that level, the problem admits a unique optimal solution and Lagrange multiplier; below it, the problem is infeasible. Why the authors say this matters The authors suggest this matters because it clarifies when an…
Continuous-time sampler handles unknown-dimensional Bayesian models
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in MathematicsWhat the study found The paper presents samsara, a continuous-time Markov chain Monte Carlo (CTMCMC) sampler designed for Bayesian inference when the number of parameters is unknown. The authors report that it achieves automatic acceptance of trans-dimensional moves and high sampling efficiency. Why the authors say this matters The authors say this matters because many…
Poster odds for strong gravitational-wave lensing are insensitive to event count
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in AstrophysicsWhat the study found The study finds that posterior odds for strong gravitational-wave lensing become insensitive to the number of gravitational-wave events in the data once strong-lensing time delays are accounted for. The authors also state that selection effects cancel out in the posterior odds and do not affect frequentist approaches to strong-lensing detection. Why…
Framework combines Bayesian learning and discrete-event modeling for remanufacturing
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in EngineeringFramework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.
River stage dynamics drive dissolved oxygen in riparian aquifers
Global sensitivity analysis with deep learning identifies river stage dynamics as primary control on dissolved oxygen in riparian aquifers, with implications for subsurface redox prediction.
Task learning increased redundancy in macaque visual cortex responses
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in NeuroscienceTask learning increases information redundancy in macaque visual cortex while preserving individual neuron information, supporting Bayesian inference over efficiency-based models.
Bayesian updating is characterized for a class of atomic probabilities
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in StatisticsCharacterization of probability measures where Bayesian updating via conditional probability formula constitutes the unique updating mechanism under relational assumptions
Retailer data analytics choices change under supplier encroachment
Examines optimal data analytics strategies for retailers managing supplier encroachment risk under two data governance structures using Bayesian persuasion framework.
