Results 101 to 110 of about 113,685 (321)

Bayesian composite $$L^p$$-quantile regression

Metrika
Abstract $$L^p$$ L p -quantiles are a class of generalized quantiles defined as minimizers of an asymmetric power function. They include both quantiles,
openaire   +2 more sources

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Bayesian quantile additive regression trees

, 2016
23 pages, 3 ...
Kindo, Bereket P., Wang, Hao, Hanson, Timothy, Peña, Edsel A.   +3 more
openaire   +2 more sources

Spatiotemporal Droughts Propagation and Direct Driving Variables Under Climate Change Projections: A Case Study of Tunisia

International Journal of Climatology, EarlyView.
Drought spatiotemporal propagation and direct driving variables are assessed at multiple time steps with high spatial resolution using various drought indices (SPI, SPEI and SPDI) and entropy based mutual information under an ensemble of climate change projections over Tunisia. ABSTRACT Projecting drought occurrence and spatiotemporal propagation under
Haykel Sellami
wiley   +1 more source

Corrigendum: Modified quantile regression for modeling the low birth weight

Frontiers in Applied Mathematics and Statistics, 2023
Ferra Yanuar, Hazmira Yozza, Aidinil Zetra   +2 more
doaj   +1 more source

Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data

Crop Journal, 2020
Genomic prediction (GP) has become a valuable tool for predicting the performance of selection candidates for the next breeding cycle. A vast majority of statistical linear models on which GP is based rely on the assumption of normality of the residuals ...
Paulino Pérez-Rodríguez, Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa   +3 more
doaj   +1 more source

Bayesian Smoothed Quantile Regression

68 pages, 3 figures, 4 tables, 2 algorithms. JEL Classification: Primary: C21; secondary: C11, C14. The source code and data to replicate all results are publicly available at https://github.com/BeauquinLau ...
Liu, Bingqi, Li, Kangqiang, Pang, Tianxiao   +2 more
openaire   +2 more sources

Simulation Study of Autocorrelated Error Using Bayesian Quantile Regression

, 2020
The purpose of this study is to compare the ability of the Classical Quantile Regression method and the Bayesian Quantile Regression method in estimating models that contain autocorrelated error problems using simulation studies.
Nayla Desviona, F. Yanuar
semanticscholar   +1 more source

From shape to source: sedimentary charcoal morphology as a proxy for tropical burned biomass composition

Journal of Quaternary Science, EarlyView.
ABSTRACT Sedimentary charcoal elongation is increasingly being used in paleoecology to distinguish herbaceous from woody fuel in past fires. However, the relationship between charcoal morphotypes and plant types has never been formally tested in tropical environments, despite its potential to improve understanding of fire regimes and deforestation, and
Fiona Cornet, Vincent Montade, Stéphanie C. Bodin, Justine Descloitre, Maxime Réjou‐Méchain, Gaëlle Viennois, Julie C. Aleman, Chimène Assi‐Kaudjhis, William F. Kenney, Richard Oslisly, Monique G. Tossou, Laurent Bremond, Charly Favier   +12 more
wiley   +1 more source

Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction

, 2012
Predictions of the uncertainty associated with extreme events are a vital component of any prediction system for such events. Consequently, the prediction system ought to be probabilistic in nature, with the predictions taking the form of probability ...
Friederichs, Petra, Thorarinsdottir, Thordis L.   +1 more
core   +1 more source