Results 101 to 110 of about 85,479 (297)
, 2020 Probabilistic models used for forecasting rainfall can help stakeholders in improving crop productivity through better utilization and preplanning of water resources, as it is the crucial element of major decisions because of the dynamic nature of ...
Deo, Ravinesh C. +3 more
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Land Degradation &Development, EarlyView.ABSTRACT Uncertainties about the applicability of δ13C and δ15N as tracers of sediment sources in tropical river basins highlight the need for more in‐depth investigations of these isotopes. This study therefore assessed the effectiveness of δ13C and δ15N signatures in discriminating sediment sources in an agricultural catchment in Northeast Brazil ...
Fábio Farias Amorim +10 more
wiley +1 more source
Parallel hierarchical sampling:a general-purpose class of multiple-chains MCMC algorithms [PDF]
This paper introduces the Parallel Hierarchical Sampler (PHS), a class of Markov chain Monte Carlo algorithms using several interacting chains having the same target distribution but different mixing properties.
Antonietta Mira, Fabio Rigat
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Movement Disorders, EarlyView.Abstract Background The identification of Parkinson's disease (PD) subtypes is crucial for predicting the disease course and designing personalized therapeutic strategies. Objectives The aim of the study was to characterize the heterogeneity of the spatiotemporal evolutionary patterns of striatal dopamine depletion and cerebral hypoperfusion in PD ...
Yeeun Sun +9 more
wiley +1 more source
Small sets and Markov transition densities [PDF]
, 2002 The theory of general state-space Markov chains can be strongly related to the case of discrete state-space by use of the notion of small sets and associated minorization conditions. The general theory shows that small sets exist for all Markov chains on
Montana, Giovanni +2 more
core +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Evaluation of fall‐seeded cover crops for grassland nesting waterfowl in eastern South Dakota
Wildlife Society Bulletin, EarlyView., 2023 Cover crops are experiencing a revival among Midwestern farmers, and we assessed their attractiveness and safety for nesting ducks in South Dakota. Nest success was markedly lower in cover crops than in perennial cover during both years of our study, including 2019 which was a best‐case scenario for cover crops, with extremely wet conditions delaying ...
Charles W. Gallman +3 more
wiley +1 more source
IEEE AccessThis study investigates the estimation of the stress-strength reliability measure, $\varsigma = P(X \lt Y)$ , assuming that both stress ( $X$ ) and strength ( $Y$ ) follow the new X-Lindley distribution.
Fatma Ciftci +4 more
doaj +1 more source
Hastings-Metropolis algorithm on Markov chains for small-probability estimation***
ESAIM: Proceedings and Surveys, 2015 Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small probability to estimate is formulated in terms of the ...
Bachoc Francois +2 more
doaj +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source