Results 111 to 120 of about 5,271,349 (211)

Nonnegative factorization of positive semidefinite nonnegative matrices [PDF]

, 1980
We give simple geometric proofs of the known results that, for n ⩽4, n × n nonnegative positive semidefinite matrices can be factored into n × n nonnegative factors and that, for n ⩾ 5, these conditions are not sufficient to guarantee the existence of ...
Wilson, D.G., Gray, L.J.
core   +1 more source

Penalized Cumulative Probability Model for a Continuous Outcome Subject to Detection Limits

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Mixed‐type outcome data occur when the outcome variable's distribution is a mixture of both continuous and discrete ordinal variables. Such mixed‐type outcomes are common in biomedical, psychological, and the health sciences, particularly for variables having either a detection or quantitation limit.
Shuai Sun, Valeria R. Mas, Kellie J. Archer   +2 more
wiley   +1 more source

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal, Maxence Lamure, Tanguy Lefort, Frank Imbach   +3 more
wiley   +1 more source

Semidefinite Programming Approaches to Hankel Matrix Approximation and Completion via Primal–Dual Interior-Point Methods

Journal of Mathematics
Data completion techniques offer numerous advantages in various fields. However, completing large datasets that must satisfy specific criteria can be challenging, necessitating the use of approximative completion methods.
Hajar A. Alshaikh, Mohammed M. Alshahrani, Suliman S. Al-Homidan   +2 more
doaj   +1 more source

Operational Choices for Risk Aggregation in Insurance: PSDization and SCR Sensitivity

Risks, 2018
This work addresses crucial questions about the robustness of the PSDization process for applications in insurance. PSDization refers to the process that forces a matrix to become positive semidefinite.
Xavier Milhaud, Victorien Poncelet, Clement Saillard   +2 more
doaj   +1 more source

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, Volume 102, Issue 338, Page 323-349, September 2026.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

Weighted Algebraic Connectivity Maximization for Optical Satellite Networks

IEEE Access, 2017
In this paper, the topology configuration methods for heterogeneous optical satellite networks are investigated. Our objectives are to maximize weighted algebraic connectivity with respect to both network initialization and reconfiguration scenarios ...
Yongxing Zheng, Shanghong Zhao, Yun Liu, Yongjun Li, Qinggui Tan, Ning Xin   +5 more
doaj   +1 more source

Sparse Minimum Redundancy Maximum Relevance for Feature Selection

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1134-1151, September 2026.
ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor, Benjamin Poignard, Héctor Climente‐González, Makoto Yamada   +3 more
wiley   +1 more source

Some inequalities for unitarily invariant norms of matrices

Journal of Inequalities and Applications, 2011
This article aims to discuss inequalities involving unitarily invariant norms. We obtain a refinement of the inequality shown by Zhan. Meanwhile, we give an improvement of the inequality presented by Bhatia and Kittaneh for the Hilbert-Schmidt norm ...
Wang Shaoheng, Zou Limin, Jiang Youyi
doaj  

A Generalized HSS Iteration Method for Continuous Sylvester Equations

Journal of Applied Mathematics, 2014
Based on the Hermitian and skew-Hermitian splitting (HSS) iteration technique, we establish a generalized HSS (GHSS) iteration method for solving large sparse continuous Sylvester equations with non-Hermitian and positive definite/semidefinite matrices ...
Xu Li, Yu-Jiang Wu, Ai-Li Yang, Jin-Yun Yuan   +3 more
doaj   +1 more source