Results 61 to 70 of about 1,294,144 (288)
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures
Sensors, 2018 Optimizing an experimental design is a complex task when a model is required for indirect reconstruction of physical parameters from the sensor readings.
Guillermo Rus, Juan Melchor
doaj +1 more source
Improvement in long-range streamflow forecasting accuracy using the Bayes' theorem
Hydrology Research, 2019 This study has developed a hydrologic forecasting system for correcting the systematic bias inherent in hydrologic simulations based on the Bayes' theorem. The observed climatology was used as prior information, and results of a linear regression model
S. B. Seo +3 more
semanticscholar +1 more source
AIChE Journal, EarlyView.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
BAT - The Bayesian Analysis Toolkit
, 2008 We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution.
Akaike +14 more
core +1 more source
Implementation of mutual information and bayes theorem for classification microarray data
, 2018 Microarray Technology is one of technology which able to read the structure of gen. The analysis is important for this technology. It is for deciding which attribute is more important than the others.
Mahendra Dwifebri +5 more
semanticscholar +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
DIAGNOSING PESTS AND DISEASES ON PINEAPPLE USING THE BAYES THEOREM
Russian Journal of Agricultural and Socio-Economic Sciences, 2023 Pineapple plants grow in tropical climates and have long been cultivated. Pineapple plants can be harvested 18-24 months after planting. Pineapple contains vitamins A and C and calcium, phosphorus, magnesium, iron, sodium, potassium, dextrose, sucrose ...
Wahyuni M.S., Marbun B.P.T., Riansah W.
doaj +1 more source
Total Belief Theorem and Generalized Bayes' Theorem
Fusion, 2018 This paper presents two new theoretical contributions for reasoning under uncertainty: 1) the Total Belief Theorem (TBT) which is a direct generalization of the Total Probability Theorem, and 2) the Generalized Bayes' Theorem drawn from TBT.
J. Dezert, A. Tchamova, Deqiang Han
semanticscholar +1 more source