Results 181 to 190 of about 134,557 (305)

Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. [PDF]

Int IEEE EMBS Conf Neural Eng, 2019
Liu F, Stephen EP, Prerau MJ, Purdon PL.
europepmc   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Fast covariance estimation for sparse functional data. [PDF]

Stat Comput, 2018
Xiao L, Li C, Checkley W, Crainiceanu C.
europepmc   +1 more source

Livelihood Diversification as an Adaptation Strategy to Climate Change and Household Food Security of Livestock Holders in Pakistan

Agribusiness, EarlyView.
ABSTRACT Rural farm households continue to face significant risks from climate change, resulting in many of them diversifying their livelihood sources into other income‐generating activities to increase their incomes and improve food and nutrition security. In this study, we examine the drivers and impact of farm households' participation in livelihood
Mahwish Arshad, Awudu Abdulai
wiley   +1 more source

A Culminating Advance in the Theory and Practice of Data Fusion, Filtering, and Decentralized Estimation

, 1997
Covariance Intersection (CI) is a major advance over the Kalman Filter for estimation, filtering, and data fusion applications. Covariance Intersection is more general in that it permits the fusion of estimates whose degree of correlation is unknown ...
Covariance Intersection Working Group (CIWG)
core  

Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence. [PDF]

Entropy (Basel), 2018
Hua X, Cheng Y, Wang H, Qin Y.
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Cryo-EM heterogeneity analysis using regularized covariance estimation and kernel regression. [PDF]

Proc Natl Acad Sci U S A
Gilles MA, Singer A.
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

On the estimation of covariance matrices using panel data artificial regressions [PDF]

The use of artificial regressions to compute the variance of the difference of pairs of panel data estimators that cannot be ranked in terms of efficiency is considered.
Patacchini, Eleonora
core