Bayesian inversion - Open Access .click

Results 161 to 170 of about 70,196 (284)

Data‐Driven Design of Co‐Continuous Morphology in PS/PMMA Two‐Phase Polymer Blends: A Theoretical, Experimental, and Machine Learning Approach

Polymer Engineering &Science, EarlyView.
This study uses an integrated methodology for polymer blend design and development. It uses theoretical and experimental techniques to evaluate phase inversion and employs a novel computational tool to determine the highest co‐continuity degree using machine learning.
Juan Felipe Castro‐Landinez +5 more
wiley +1 more source

Bayesian inverse problems and seismic inversion

, 2018
The Bayesian formulation for inverse problems gives a way of making inferences about unknown quantities not directly observable. The application of Bayes' Theorem combines the prior information and the observation to give a posterior measure, which contains information about the quantity we are trying to estimate. In this thesis, we review a particular
openaire +1 more source

Speciation with gene flow

PLANTS, PEOPLE, PLANET, EarlyView.
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long +7 more
wiley +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos +4 more
wiley +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih, Ibrahim Hoteit +1 more
wiley +1 more source

Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke +2 more
wiley +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source

Toward Efficient and Reliable Chemical Upgrading Using Solid Oxide Electrochemical Reactors, Mechanisms, Challenges, and Design Principles

Small, EarlyView.
Solid oxide electrochemical reactors (SOERs) offer a compelling pathway for coupling renewable electricity with chemical manufacturing, but their real application is still limited by low efficiency and instability. This review systematically summarizes SOER reaction mechanisms, performance‐limiting factors, and recent progress toward high‐efficiency ...
Nai Shi +3 more
wiley +1 more source

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

Systems Engineering, EarlyView.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
wiley +1 more source

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches. [PDF]

PLoS One, 2012
Belardinelli P +4 more
europepmc +1 more source

bayesian inference
uncertainty quantification
machine learning