Results 81 to 90 of about 348,082 (329)
Bayesian Decision Theory and Stochastic Independence [PDF]
Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory.
Philippe Mongin
doaj +1 more source
Bayesian Posteriors Without Bayes' Theorem [PDF]
The classical Bayesian posterior arises naturally as the unique solution of several different optimization problems, without the necessity of interpreting data as conditional probabilities and then using Bayes' Theorem. For example, the classical Bayesian posterior is the unique posterior that minimizes the loss of Shannon information in combining the ...
arxiv
Price Probabilities: A Class of Bayesian and Non-Bayesian Prediction Rules [PDF]
This paper examines the implications of the market selection hypothesis on the accuracy of the probabilities implied by equilibrium prices and on the “learning” mechanism of markets. I use the standard machinery of dynamic general equilibrium models to generate a rich class of probabilities, price probabilities, and discuss their properties. This class
openaire +6 more sources
Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys
Cross‐species fMRI studies reveal distinct neural mechanisms for biological motion (BM) processing. In humans, the posterior superior temporal sulcus (hpSTS) selectively responds to conspecific BM, while monkeys process BM from both species in the middle temporal area (MT).
Yuhui Cheng+7 more
wiley +1 more source
Actionable Forecasting as a Determinant of Biological Adaptation
A new framework reveals how biological systems can achieve precise adaptation by tracking an actionable target that combines the current optimal state with its rate of change. This approach, implemented through dynamics‐informed neural networks, demonstrates that predictive mechanisms like circadian rhythms become beneficial when environmental sensing ...
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Recursive Bayesian Filters for Data Assimilation [PDF]
A thesis on some recursive Bayesian filters for data ...
arxiv
Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation
Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang+9 more
wiley +1 more source
Quantum Theory of the Universe Based on Bayesian Probability [PDF]
We formulate a quantum theory of the Universe based on Bayesian probability. In this theory, the probability of the Universe is not a frequency probability, which can be obtained by observing experimental results several times, but is a Bayesian probability, which can define a probability of an event that occurs just once.
arxiv
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster+2 more
wiley +1 more source
A High Throughput Platform to Minimize Voltage and Fill Factor Losses
A high‐throughput workflow is developed to determine the Langevin reduction factor in organic photovoltaics autonomously and accurately within seconds. Using UV–Vis spectra, current–voltage curves, and transient absorption kinetics, intrinsic charge absorption cross‐sections are calculated.
Julian Matthias Haffner‐Schirmer+15 more
wiley +1 more source