Results 31 to 40 of about 4,032,520 (72)
Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Med Research, Volume 2, Issue 3, Page 522-548, September 2026.Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
Meteorological Applications, Volume 33, Issue 5, September/October 2026.This study evaluates hourly ensemble probability of precipitation postprocessing across 25 stations and full verification year and introduces a temporally informed neural‐network postprocessing approach. The method improves calibration and achieves positive Brier skill scores in several months, though gains mainly reflect systematic probability ...
Martin Davis Apsitis
wiley +1 more source
Statistics in Medicine, Volume 45, Issue 20-22, September 2026.ABSTRACT Task‐based functional magnetic resonance imaging (fMRI) experiments play a crucial role in modern data‐driven neuroscience research. These studies often aim to understand how external stimuli trigger activation in specific brain regions and to explore functional connectivity patterns among predefined regions, commonly referred to as regions of
Parisa Naseri +5 more
wiley +1 more source
Model‐Agnostic Influential Outlier Metric
Stat, Volume 15, Issue 3, September 2026.ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley +1 more source
Wavelet‐Based Hurst Exponent Estimation
WIREs Computational Statistics, Volume 18, Issue 3, September 2026.The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
Annals of the New York Academy of Sciences, Volume 1563, Issue 1, September 2026.We investigated preferences of budgerigars and humans for rhythmic and arrhythmic sounds, specifically beat‐based regularity and repetition, using a place‐preference paradigm. We found that female budgerigars prefer regular and repetitive sounds equally, while humans prefer sounds containing a regular beat over repetition.
Felix Haiduk +5 more
wiley +1 more source
Execution Time Optimization Through Feature and Temporal Reduction in Asset Pricing
Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.ABSTRACT High‐dimensional financial machine learning (ML) pipelines are computational workloads as much as predictive models: their practical value depends on runtime, memory footprint, scalability, and the ability to retrain under resource constraints. This paper treats empirical asset pricing as a demanding real‐world workload and proposes Cost‐Aware
Umit Demirbaga, Yue Xu, Evrim Guler
wiley +1 more source
Corrigendum: Modified quantile regression for modeling the low birth weight
Frontiers in Applied Mathematics and Statistics, 2023 Ferra Yanuar +2 more
doaj +1 more source
Oikos, Volume 2026, Issue 7, July 2026.Anthropogenic stressors often co‐occur in ecosystems, but their combined impacts are rarely assessed using field experiments. Press disturbances particularly can reshape community dynamics, altering their capacity to withstand or recover from acute pulse disturbances by modifying response diversity.
Bridget E. White +6 more
wiley +1 more source
Bayesian Mode Regression [PDF]
, 2014 This article has been made available through the Brunel Open Access Publishing Fund.Like mean, quantile and variance, mode is also an important measure of central tendency of a distribution.
Yu, K, Aristodemou, K, Lu, Z
core +1 more source