Results 231 to 240 of about 1,212,906 (326)

Addressing Known Challenges in Solar Flare Forecasting I: Limb‐Flare Prediction With a 4π Full‐Heliosphere Framework

open access: yesSpace Weather, Volume 24, Issue 2, February 2026.
Abstract A demonstrated failure mode for operational solar flare forecasting is the inability to forecast flares that occur near, or just beyond, the solar limb. To address this shortcoming, we develop a “4π $4{\uppi }$” full‐heliosphere event forecasting framework and evaluate its statistical classification ability against this specific challenge.
K. D. Leka   +5 more
wiley   +1 more source

Field‐Scale Soil Moisture Predictions in Real Time Using In Situ Sensor Measurements in an Inverse Modeling Framework: SWIM2

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx   +7 more
wiley   +1 more source

Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 2, Page 497-504, February 2026.
Abstract Animal geolocation is the core of movement ecology. In aquatic ecosystems, electronic tagging and tracking technologies, such as passive acoustic telemetry systems and biologging sensors, are widely deployed. However, statistical estimation of individual locations from these datasets can be challenging and computationally expensive.
Edward Lavender   +2 more
wiley   +1 more source

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 2, Page 418-434, February 2026.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender   +3 more
wiley   +1 more source

Reduced rank regression for mixed predictor and response variables

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 1, Page 173-206, February 2026.
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij   +2 more
wiley   +1 more source

Beyond the p Value Dichotomy: Alternatives for Statistical Inference—A Critical Review

open access: yesJournal of Evaluation in Clinical Practice, Volume 32, Issue 1, February 2026.
ABSTRACT Rationale The p value has long been used as the primary criterion for statistical significance; however, its dichotomous interpretation has been increasingly criticized for oversimplifying uncertainty and distorting scientific inference, particularly in health and sports sciences.
Matheus Hissa Lourenço Ferreira   +2 more
wiley   +1 more source

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