Multistate Markov model for functional recovery in stroke: probability of state transition and prognosis prediction. [PDF]
Li B, Wan C.
europepmc +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Advanced satellite-based remote sensing and data analytics for precision water resource management and agricultural optimization. [PDF]
Ali A +7 more
europepmc +1 more source
We analysed archival muscle biopsies of steroid‐naïve patients with Duchenne muscular dystrophy (DMD), proposing a novel, simple metric: myofibre density (MFD). MFD sharply declines until age 6, identifying a critical threshold around this age. MFD provides a sensitive, reproducible biomarker for early disease progression, highlighting a potential ...
Tetsuhiro Yamakado +10 more
wiley +1 more source
Enabling decision-making and innovation in learning health systems through simulation modelling. [PDF]
Lessard L, Sauré A.
europepmc +1 more source
This study applies stochastic rainfall models combining Markov Chains with gamma and mixed exponential distributions to a semi‐arid climate in Northeast Brazil. Model structures were evaluated using Bayesian Information Criterion (BIC), with maximum likelihood (MLM) for parameter estimation and cumulative distribution functions (CDFs) for validation ...
Gabriel Magno Cavalcante Calado +5 more
wiley +1 more source
Weight Status Transitions and Validation of an Obesity Model for Aboriginal and Torres Strait Islander Children and Adolescents. [PDF]
Lung T +8 more
europepmc +1 more source
Utilising Benford's Law in the Validation of Precipitation Datasets
This study demonstrates Benford's Law as a robust diagnostic tool for precipitation data integrity. Global monthly precipitation consistently conforms to the law, regardless of origin, while regional data requires appropriate temporal granularity for adherence.
Amee Gollop +5 more
wiley +1 more source
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies. [PDF]
Sidrow E +6 more
europepmc +1 more source
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source

