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Genome-wide discovery for biomarkers using quantile regression at biobank scale

Nature
Quantile regression can be a helpful complement to linear regression in GWAS and can identify variants with larger effects on high-risk subgroups of...
3 months ago

Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework

ScienceDirect.com
This study is the first to consolidate the complementary information provided by sediment color and water chemistry to enhance our understanding of redox...
4 months ago

From Scratch to Deep Quantile Forecasting | by Jinhang Jiang

Towards Data Science
Quantile forecasting is a statistical technique used to predict different quantiles (e.g., the median or the 90th percentile) of a response...
3 months ago

Impact of digital technology on carbon emissions: Evidence from Chinese cities

Frontiers
IntroductionPromoting the development of digital technology is an important step in meeting the challenge of global climate change and achieving carbon...
4 months ago

Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks

Nature
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable...
6 months ago

Concentration and distribution of phytoplankton nitrogen and carbon in the Northwest Atlantic and Indian Ocean: A simple model with applications in satellite remote sensing

Frontiers
Despite the critical role phytoplankton play in marine biogeochemical cycles, direct methods for determining the content of two key elements in natural...
4 months ago

Heterogeneous effects of the availability and spatial configuration of urban green spaces on their cooling effects in China

ScienceDirect.com
In this study, we investigated the impacts of UGS availability and spatial configuration on urban land surface temperature (LST) taking 306 cities in China as...
10 months ago

A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network

American Meteorological Society
Abstract Despite the potential and increasing interest in physically based hydrological models for streamflow forecasting applications, they are constrained...
28 months ago

Modified Least Trimmed Quantile Regression to Overcome Effects of Leverage Points

Wiley Online Library
Quantile regression estimates are robust for outliers in y direction but are sensitive to leverage points. The least trimmed quantile...
52 months ago

C3 AI Releases Comprehensive Enhancements to Its Enterprise AI Application Development Platform and AI Applications

C3 AI
Newest version of the C3 AI Suite expands lineage, ML model development/operations, and multi-cloud support features for accelerated time-to-value.
44 months ago