Results 101 to 110 of about 5,810,036 (263)

Sparse kronecker pascal measurement matrices for compressive imaging

Journal of the European Optical Society-Rapid Publications, 2017
Background The construction of measurement matrix becomes a focus in compressed sensing (CS) theory. Although random matrices have been theoretically and practically shown to reconstruct signals, it is still necessary to study the more promising ...
Yilin Jiang, Qi Tong, Haiyan Wang, Qingbo Ji   +3 more
doaj   +1 more source

Extending reliability to intensive longitudinal data with the Kalman filter

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley   +1 more source

Identifying Kronecker product factorizations

CoRR
21 pages, 13 ...
Voet, Yannis Dirk, De Novellis, Leonardo
openaire   +2 more sources

Estimating the reliability of round‐robin judgments with social relations confirmatory factor analyses

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The social relations model (SRM) is commonly used in psychological research to analyse interdependent data from round‐robin designs, where all members of a group rate each other. Based on the recently suggested social relations confirmatory factor analysis (SR‐CFA), we present general formulas for determining the reliability of composites of ...
Steffen Nestler, Oliver Lüdtke, Alexander Robitzsch   +2 more
wiley   +1 more source

Least Squares Pure Imaginary Solution and Real Solution of the Quaternion Matrix Equation AXB+CXD=E with the Least Norm

Journal of Applied Mathematics, 2014
Using the Kronecker product of matrices, the Moore-Penrose generalized inverse, and the complex representation of quaternion matrices, we derive the expressions of least squares solution with the least norm, least squares pure imaginary solution with the
Shi-Fang Yuan
doaj   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Review of cognitive diagnostic models (CDMs): Recent methodological advancements for addressing practical challenges

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley   +1 more source

Computing Skinning Weights via Convex Duality

Computer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Skew-spectra and skew energy of various products of graphs [PDF]

Transactions on Combinatorics, 2015
Given a graph $G$, let $G^sigma$ be an oriented graph of $G$ with the orientation $sigma$ and skew-adjacency matrix $S(G^sigma)$. Then the spectrum of $S(G^sigma)$ consisting of all the eigenvalues of $S(G^sigma)$ is called the skew-spectrum of $G ...
Xueliang Li, Huishu Lian
doaj  

Norms and Spread of the Fibonacci and Lucas RSFMLR Circulant Matrices

Abstract and Applied Analysis, 2015
Circulant type matrices have played an important role in networks engineering. In this paper, firstly, some bounds for the norms and spread of Fibonacci row skew first-minus-last right (RSFMLR) circulant matrices and Lucas row skew first-minus-last right
Wenai Xu, Zhaolin Jiang
doaj   +1 more source