Results 131 to 140 of about 12,151,236 (300)
The Description of Measured Information Using Entropy in Biological Inverse Problems
工程科学与技术, 2008 :An important problem before the parameters identification of biological inverse problems, that is, the determination of the position of measuring points,was discussed.The Bayesian theory was applied to define the probability of the samples by the ...
doaj
BAYESIAN ANALYSIS OF CONDITIONAL AUTORIEGRESSIVE MODELS [PDF]
Conditionally autoregressive (CAR) models have been extensively used for the analysis of spatial data in diverse areas, such as demography, economy, epidemiology and geography, as models for both latent and observed variables.
Victor De Oliveira
core
Advanced Robotics Research, EarlyView.A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley +1 more source
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. [PDF]
PLoS Comput Biol, 2023 Backman TWH +10 more
europepmc +1 more source
A general approach to Bayesian portfolio optimization [PDF]
We develop a general approach to portfolio optimization taking account of estimation risk and stylized facts of empirical finance. This is done within a Bayesian framework.
Bade, Alexander +2 more
core
Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions
Advanced Robotics Research, EarlyView.Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor +4 more
wiley +1 more source
A Bayesian Method for Exposure Prevalence Comparison During Foodborne Disease Outbreak Investigations. [PDF]
Foodborne Pathog Dis, 2023 Khan MA, Bruce BB, Bottichio L, Wise M.
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Advanced Science, EarlyView.The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun +27 more
wiley +1 more source
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. [PDF]
Sensors (Basel), 2022 Haywood-Alexander M +5 more
europepmc +1 more source