Results 131 to 140 of about 192,869 (306)
Determining the number of clusters using nonparametric statistics
A Gaussian mixture model is investigated in this paper. A method for estimation of unknown number of clusters in the case of equal covariance matrices is discribed. This method is based on the use of projection pursuit.
Darius Šimoliūnas
doaj +1 more source
Price Transmission During Promotions: A Case Study of Spanish Milk Brands
ABSTRACT Price promotion is the marketing tool typically used by retail brands to boost sales and gain market share. In this paper, we intend to investigate the price transmission mechanism among competitive brands in Spain when price reductions that are associated with price promotions take place.
Yasmine Bedoui +2 more
wiley +1 more source
Identification of State and Measurement Noise Covariance Matrices using Nonlinear Estimation Framework [PDF]
Oliver Kost +2 more
openalex +1 more source
Estimation of Large Block Structured Covariance Matrices: Application to ‘Multi-Omic’ Approaches to Study Seed Quality [PDF]
Marie Perrot-Dockès +2 more
openalex +1 more source
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole +6 more
wiley +1 more source
Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data [PDF]
Jianfeng Yao, Abla Kammoun, Jamal Najım
openalex +1 more source
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse +2 more
wiley +1 more source
L0 Sparse Inverse Covariance Estimation
Recently, there has been focus on penalized log-likelihood covariance estimation for sparse inverse covariance (precision) matrices. The penalty is responsible for inducing sparsity, and a very common choice is the convex $l_1$ norm.
Hero III, Alfred O., Marjanovic, Goran
core
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source

