Results 81 to 90 of about 3,431,698 (356)
bayesQR: A Bayesian Approach to Quantile Regression
After its introduction by Koenker and Basset (1978), quantile regression has become an important and popular tool to investigate the conditional response distribution in regression. The R package bayesQR contains a number of routines to estimate quantile
Dries F. Benoit, Dirk Van den Poel
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SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai +12 more
wiley +1 more source
Probabilistic Solar Forecasting Using Quantile Regression Models
In this work, we assess the performance of three probabilistic models for intra-day solar forecasting. More precisely, a linear quantile regression method is used to build three models for generating 1 h–6 h-ahead probabilistic forecasts. Our approach is
Philippe Lauret +2 more
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Grade point average (GPA) is initial information for supervisors to characterize their supervised students. One model that can be used to predict a student's study period based on GPA is a machine learning-based regression model so that supervisors can ...
Sri Nurdiati, Mohamad Khoirun Najib
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Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
wiley +1 more source
Unit-Modified Weibull Distribution and Quantile Regression Model [PDF]
The Sustainable Development Goals (SDGs) of the United Nations consist of 17 general objectives, subdivided into 169 targets to be achieved by 2030. Several SDG indices and indicators require continuous analysis and evaluation, and most of these indices ...
JOÃO INÁCIO SCRIMINI +3 more
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Quantile Encoder: Tackling High Cardinality Categorical Features in\n Regression Problems [PDF]
Carlos Mougan +3 more
openalex +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Spatial quantile regression in analysis of mortality
The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland.
Grażyna Trzpiot +1 more
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A Bayesian hurdle quantile regression model for citation analysis with mass points at lower values
Quantile regression presents a complete picture of the effects on the location, scale, and shape of the dependent variable at all points, not just the mean.
Marzieh Shahmandi +2 more
doaj +1 more source

