Results 61 to 70 of about 44,356 (305)

Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries [PDF]

, 2016
The paper investigates the impact of the selected factors on the healthy life years of men and women in the EU countries. The multiple quantile spatial autoregression models are used in order to account for substantial differences in the healthy life ...
Orwat-Acedańska, Agnieszka, Trzpiot, Grażyna   +1 more
core   +2 more sources

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm

Complexity, 2020
A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise.
Tianhong Pan, Wei Guo, Ying Song, Fujia Yin   +3 more
doaj   +1 more source

Bayesian bivariate quantile regression

Statistical Modelling, 2014
Quantile regression (QR) has become a widely used tool to study the impact of covariates on quantiles of a response distribution. QR provides a detailed description of the conditional response when considering a dense set of quantiles, without assuming a closed form for its distribution.
Waldmann, Elisabeth, Kneib, Thomas
openaire   +3 more sources

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Use of Bayesian, Lasso Binary Quantile Regression to Identify Suitable Habitat for Tiger Prey Species in Thap Lan National Park, Eastern Thailand

Environment and Natural Resources Journal, 2022
A Bayesian approach was used to develop binary quantile regression models featuring the lasso penalty. The models afford the advantages of all quantile regression models, such as robustness and detailed insights into covariate effects; they also handle ...
Paanwaris Paansri, Warong Suksavate, Aingorn Chaiyes, Prawatsart Chanteap, Prateep Duengkae   +4 more
doaj   +1 more source

The spread of non‐native species

Biological Reviews, EarlyView.
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock, Ali Serhan Tarkan, Irene Martín‐Forés, Stelios Katsanevakis, Ronaldo Sousa, Ismael Soto, Andy J. Green, Antonín Kouba, Teun Everts, Victoria Dominguez Almela, Nadège Belouard, Cang Hui, Jamie Bojko, Victor Deklerck, Margaux Boeraeve, Franz Essl, J. Robert Britton   +16 more
wiley   +1 more source

A Bayesian Equal Part Regression Analysis of the Influencing Factors of Taiwanese People’s Regime Acceptance of Mainland China and U.S. Governments

Mathematics, 2019
This study utilized the newly-designed Bayesian equal part regression (BEPR) model to analyze the Taiwan National Security surveyed data from 2015 in order to construct a model of Taiwanese people’s regime acceptance of Mainland China and U.S ...
Shianghau Wu
doaj   +1 more source

Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model [PDF]

, 2013
This paper proposes computationally tractable methods for selecting the appropriate spatial weighting matrix in the context of a spatial quantile regression model.
Kostov, Phillip
core   +2 more sources

Bayesian Robust Quantile Regression

, 2016
Traditional Bayesian quantile regression relies on the Asymmetric Laplace distribution (ALD) mainly because of its satisfactory empirical and theoretical performances. However, the ALD displays medium tails and it is not suitable for data characterized by strong deviations from the Gaussian hypothesis.
Bernardi, Mauro, Bottone, Marco, Petrella, Lea   +2 more
openaire   +2 more sources