Results 161 to 170 of about 44,356 (305)

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

LABOUR, EarlyView.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models

Applied Water Science
This study examines the effectiveness of various quantile regression (QR) and machine learning (ML) methodologies developed for analyzing the relationship between meteorological parameters and daily reference evapotranspiration (ETref) across diverse ...
Saeed Sharafi, Mehdi Mohammadi Ghaleni
doaj   +1 more source

A Study of Bayesian Quantile Regression for Forecasting RMB Exchange Rates [PDF]

, 2023
Zihan Yang
openalex   +1 more source

Beyond species means – the intraspecific contribution to global wood density variation

New Phytologist, EarlyView.
Summary Wood density is central for estimating vegetation carbon storage and a plant functional trait of great ecological and evolutionary importance. However, the global extent of wood density variation is unclear, especially at the intraspecific level. We assembled the most comprehensive wood density collection to date, including 109 626 records from
Fabian Jörg Fischer, Jérôme Chave, Amy Zanne, Tommaso Jucker, Alex Fajardo, Adeline Fayolle, Renato Augusto Ferreira de Lima, Ghislain Vieilledent, Hans Beeckman, Wannes Hubau, Tom De Mil, Daniel Wallenus, Ana María Aldana, Esteban Alvarez‐Dávila, Luciana F. Alves, Deborah M. G. Apgaua, Fátima Arcanjo, Jean‐François Bastin, Andrii Bilous, Philippe Birnbaum, Volodymyr Blyshchyk, Joli Borah, Vanessa Boukili, J. Julio Camarero, Luisa Casas, Roberto Cazzolla Gatti, Jeffrey Q. Chambers, Ezequiel Chimbioputo Fabiano, Brendan Choat, Georgina Conti, Will Cornwell, Javid Ahmad Dar, Ashesh Kumar Das, Magnus Dobler, Dao Dougabka, David P. Edwards, Robert Evans, Daniel Falster, Philip Fearnside, Olivier Flores, Nikolaos Fyllas, Jean Gérard, Rosa C. Goodman, Daniel Guibal, L. Francisco Henao‐Diaz, Vincent Hervé, Peter Hietz, Jürgen Homeier, Thomas Ibanez, Jugo Ilic, Steven Jansen, Rinku Moni Kalita, Tanaka Kenzo, Liana Kindermann, Subashree Kothandaraman, Martyna Kotowska, Yasuhiro Kubota, Patrick Langbour, James Lawson, André Luiz Alves de Lima, Roman Mathias Link, Anja Linstädter, Rosana López, Cate Macinnis‐Ng, Luiz Fernando S. Magnago, Adam R. Martin, Ashley M. Matheny, James K. McCarthy, Regis B. Miller, Arun Jyoti Nath, Bruce Walker Nelson, Marco Njana, Euler Melo Nogueira, Alexandre Oliveira, Rafael Oliveira, Mark Olson, Yusuke Onoda, Keryn Paul, Daniel Piotto, Phil Radtke, Onja Razafindratsima, Tahiana Ramananantoandro, Jennifer Read, Sarah Richardson, Enrique G. de la Riva, Oris Rodríguez‐Reyes, Samir G. Rolim, Victor Rolo, Julieta A. Rosell, Roberto Salguero‐Gómez, Nadia S. Santini, Bernhard Schuldt, Luitgard Schwendenmann, Arne Sellin, Timothy Staples, Pablo R. Stevenson, Somaiah Sundarapandian, Masha T. van der Sande, Bernard Thibaut, David Yue Phin Tng, José Marcelo Domingues Torezan, Boris Villanueva, Aaron Weiskittel, Jessie Wells, S. Joseph Wright, Kasia Zieminska   +105 more
wiley   +1 more source

Bayesian quantile regression joint models: Inference and dynamic predictions. [PDF]

Stat Methods Med Res, 2019
Yang M, Luo S, DeSantis S.
europepmc   +1 more source

Genetic and Phenotypic Diversity of European Triticale: GWAS of Yellow Rust Resistance and Agronomic Traits

Plant Breeding, EarlyView.
ABSTRACT Triticale (x Triticosecale Wittmack) is an interspecific hybrid of wheat and rye. It is a promising grain and forage crop that thrives in poorer soils and low‐input farming systems. It can serve as a viable alternative to traditional small grains such as wheat and barley, bringing diversity to crop rotations and enhancing biodiversity in ...
Riccardo Zustovi, Selma Schurack, Miroslav Valarik, Juliane Gris Rueda, Milan Mirosavljević, Vesna Župunski, Hermann Buerstmayr, Małgorzata Niewińska, Jakub Juračka, Sofie Landshoot, Maria Chiara Piro, Reena Dubey, Greet Verlinden, Kevin Dewitte, Matthias Herrmann, Radivoje Jevtić, Steven Maenhout, Geert Haesaert   +17 more
wiley   +1 more source

Genome‐Wide Association Study Elucidates the Genetic Architecture of Manganese Tolerance in Brassica napus

Plant, Cell &Environment, EarlyView.
ABSTRACT Brassica napus (canola) is a significant contributor to the world's oil production and is cultivated across continents, yet acidic soils with aluminium (Al3+) and manganese (Mn2+) toxicities limit its production. The genetic determinants underlying natural variation for acidic soil tolerance in canola are unknown and need to be determined ...
Harsh Raman, Zetao Bai, Brett McVittie, Sourav Mukherjee, Hugh D. Goold, Yuanyuan Zhang, Nay Chi Khin, Yu Qiu, Nawar Shamaya, Shengyi Liu, Regine Delourme, Barry J. Pogson, Sureshkumar Balasubramanian, Rosy Raman   +13 more
wiley   +1 more source

Earlier reproductive phenology of restored grasslands

Restoration Ecology, EarlyView.
Abstract Introduction Plants introduced to degraded ecosystems during restoration efforts often face novel environmental conditions. Consequently, plant functional traits can differ between restored and reference sites, even within the same species. Studies on such intraspecific variation mainly focused on vegetative traits, while the timing of life ...
Franziska M. Willems, Johanna Bantin, Norbert Hölzel, Anna Bucharova   +3 more
wiley   +1 more source

Systemic risk in the insurance sector: A semi‐parametric approach based on Spearman's rho

Risk Management and Insurance Review, EarlyView.
Abstract We propose a new method to measure systemic risk in the global insurance sector by analyzing interconnectedness among firms under different market conditions. Using a semi‐parametric approach that relies on the Spearman correlation and copula‐based partial dependence, we assess relationships in relatively stable, extremely bullish, and ...
Leonardo Iania, Arturo Leccadito, Alessandro Staino   +2 more
wiley   +1 more source

Robust Bayesian small area estimation based on quantile regression

, 2020
Enrico Fabrizi, Nicola Salvati, Carlo Trivisano   +2 more
openalex   +2 more sources