Results 211 to 220 of about 131,180 (321)
ABSTRACT Global and open trade fosters peace, economic prosperity and food security worldwide, but it faces growing instability due to multidimensional factors. A range of new developments threaten the resilience of trade networks, with direct implications for food security.
Lucie Maruejols +3 more
wiley +1 more source
Citation: 'Bayes’s theorem' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11412 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta +3 more
wiley +1 more source
Utilization Of Bayes' Theorem To Estimate The Predictive Value Of The A1 Allele Of The D2 Dopamine Receptor Gene In Compulsive Disease [PDF]
Kenneth Blum +3 more
openalex +1 more source
Bayesian Inference via GeTex‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
This work reports a GeTex ovonic threshold switch integrated into a compact 1S1T1R stochastic synapse that directly realizes an MC‐Dropconnect Bayesian neural network. Tunable probabilistic switching enables uncertainty‐aware COVID‐19 diagnosis and MNIST recognition while remaining compatible with conventional 1T1R CIM architectures, highlighting a ...
Xinyu Wen +9 more
wiley +1 more source
Submarine Position Prediction and Rescue Equipment Optimization Model Based on Dung Beetle Optimizer and Bayes' Theorem [PDF]
Yuxuan Li, Chenxu Tian
openalex +1 more source
Reduced rank regression for mixed predictor and response variables
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij +2 more
wiley +1 more source
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
CA 549: The Theorem of Bayes for Obtaining Cut-off Values
R. Blasco +4 more
doaj +1 more source

