Results 81 to 90 of about 1,566,040 (193)

Impact of Geopolitical and International Trade Dynamics on Corporate Vulnerability and Insolvency Risk: A Graph-Based Approach

Information
In the context of the globalization process, the interplay between geopolitical dynamics and international trade fluctuations has had significant effects on global economic and business stability.
Yu Zhang, Elena Sánchez Arnau, Enrique A. Sánchez Pérez   +2 more
doaj   +1 more source

Multivariate generalized S-estimators. [PDF]

In this paper we introduce generalized S-estimators for the multivariate regression model. This class of estimators combines high robustness and high efficiency.
Croux, Christophe, Roelant, E., Van Aelst, S.   +2 more
core  

Multivariate Linear Regression [PDF]

, 2022
Gregory C. Reinsel, Raja P. Velu, Kun Chen   +2 more
openaire   +2 more sources

Semi-conjugate prior densities in multivariate t regression models [PDF]

Regression ...
Osiewalski, J., Steel, M.F.J.
core   +1 more source

Smartphone-Based Colorimetric Platform with RGB-CIELAB Multivariate Regression and 3D-Printed Illumination for Portable Multi-Analyte Detection

Jurnal Elektronika dan Telekomunikasi
Smartphone-based colorimetry has become a promising alternative to bulky and expensive spectrophotometers for portable and field analysis. This study aims to develop Colorizer, a modular smartphone-based colorimetric platform that provides accurate and ...
Robeth Viktoria Manurung, Jonathan Edwards Telaumbanua, Richard Anthony Lim, Winda Astuti, Dedi Mada, Agustina Sus Andreani   +5 more
doaj   +1 more source

VAR for VaR: measuring systemic risk using multivariate regression quantiles. [PDF]

This paper proposes methods for estimation and inference in multivariate, multi-quantile models. The theory can simultaneously accommodate models with multiple random variables, multiple confidence levels, and multiple lags of the associated quantiles ...
Kim, Tae-Hwan, Manganelli, Simone, White, Halbert   +2 more
core   +1 more source

GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer

AI
Background: Histopathological images are often used to diagnose breast cancer and have shown high accuracy in classifying cancer subtypes. Prediction of gene expression from whole-slide images and spatial transcriptomics data is important for cancer ...
Oumeima Thaalbi, Moulay A. Akhloufi
doaj   +1 more source

Alternative methods for forecasting GDP [PDF]

An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method, with parametric VAR modelling is conducted on the euro area GDP. Using both methods for nowcasting and forecasting the GDP, through the
Dominique Guegan, Patrick Rakotomarolahy
core  

Multivariate out-of-sample tests for Granger causality. [PDF]

A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in the univariate setting, much less is known for the multivariate case. In this
Croux, Christophe, Gelper, Sarah
core  

Retracted: Analysis of Infertility Factors Caused by Gynecological Chronic Pelvic Inflammation Disease Based on Multivariate Regression Analysis of Logistic. [PDF]

Scanning, 2023
Scanning.
europepmc   +1 more source