Scaling and Uncertainty in Soil Moisture Modelling: A Probabilistic Deep Learning Perspective
Hydrological Processes, Volume 40, Issue 8, August 2026.A probabilistic Gaussian Mixture Long Short‐Term Memory framework is used to investigate soil moisture dynamics across the continental United States using meteorological forcings and physiographic attributes. Predictions are evaluated at unseen International Soil Moisture Network sites to ensure realistic regional transfer.
Balazs Bischof, Erwin Zehe, Ralf Loritz
wiley +1 more source
Limnology and Oceanography, Volume 71, Issue 8, August 2026.Abstract Groundwater dissolved oxygen (DO) variability in coastal systems remains poorly understood despite its importance for biogeochemical cycling and ecosystem modeling. This study investigates temporal variability in groundwater DO and its hydro‐climatic drivers across timescales (hourly to seasonal) in a coastal floodplain at Beaver Creek ...
Emilio Grande +5 more
wiley +1 more source
Minimising the Kullback-Leibler Divergence for Model Selection in Distributed Nonlinear Systems. [PDF]
Entropy (Basel), 2018 Cliff OM, Prokopenko M, Fitch R.
europepmc +1 more source
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
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Bayesian Estimation of the Binomial Parameter in Adaptive Designs With Treatment Selection
Statistics in Medicine, Volume 45, Issue 18-19, August 2026.ABSTRACT It is well‐known that results from adaptive multi‐arm experiments with treatment selection are subject to the bias of the selection process. In this article, we consider designs with a binary outcome that begin with randomized parallel arms.
Pierre Bunouf, Jean‐Marie Boher
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Kullback-Leibler Divergence Based Distributed Cubature Kalman Filter and Its Application in Cooperative Space Object Tracking. [PDF]
Entropy (Basel), 2018 Hu C, Lin H, Li Z, He B, Liu G.
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Statistics in Medicine, Volume 45, Issue 18-19, August 2026.ABSTRACT Health risk behaviors, including smoking, poor nutrition, alcohol misuse, and physical inactivity (SNAP), are leading contributors to chronic disease burden and healthcare costs worldwide. Their prevalence is shaped not only by individual demographic characteristics but also by contextual factors such as socioeconomic and occupational ...
Lorenzo Schiavon +3 more
wiley +1 more source
Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling. [PDF]
BMC Med Imaging, 2017 Liang S +5 more
europepmc +1 more source
Using Latent Representations to Link Disjoint Longitudinal Data for Mixed‐Effects Regression
Statistics in Medicine, Volume 45, Issue 18-19, August 2026.ABSTRACT Many rare diseases offer limited established treatment options, leading patients to switch therapies when new medications emerge. To analyze the impact of such treatment switches within the low sample size limitations of rare disease trials, it is important to use all available data sources.
Clemens Schächter +8 more
wiley +1 more source
Analysis of Cell Signal Transduction Based on Kullback-Leibler Divergence: Channel Capacity and Conservation of Its Production Rate during Cascade. [PDF]
Entropy (Basel), 2018 Tsuruyama T.
europepmc +1 more source