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Showing 6 of 6 academic articles

Spatio-temporal analysis of childhood vaccine uptake in Nigeria: a hierarchical Bayesian Zero-inflated Poisson approach

Temitayo Victor Lawal, Kehinde Adebola Atoloye, Ayo Stephen Adebowale, Adeniyi Francis Fagbamigbe • BMC Pediatrics (2023)

Abstract Background Globally, child mortality and morbidity remain a serious health challenge and infectious diseases are the leading causes. The use of count models together with spatial analysis of the number of doses of childhood vaccine...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12887-023-04300-x

Statistics of Extremes

Jan Beirlant, Yuri Goegebeur, Jozef L. Teugels, Johan Segers • Wiley series in probability and statistics (2004)

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Ext...

OPENALEX DOI: https://doi.org/10.1002/0470012382

Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification

Xiaoqing Gu, Cong Zhang, Tongguang Ni • IEEE Access (2019)

The rule-based fuzzy systems have successfully applied for numerous medical data classification problems. However, structuring the concise and interpretable fuzzy rules with good classification performance is still a big challenge. To addre...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2954707

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov et al. • arXiv (Cornell University) (2019)

We propose SWA-Gaussian (SWAG), a simple, scalable, and general purpose approach for uncertainty representation and calibration in deep learning. Stochastic Weight Averaging (SWA), which computes the first moment of stochastic gradient desc...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1902.02476

Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791

Huanbin Chi, Zhi Li, Feng Wang, Xuefen Tian et al. • The Astrophysical Journal (2026)

We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for differential reddening, we use the Bayesian model comparison ...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/ae690f

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

Anirban Chaudhuri, Graham Pash, David A. Hormuth, David A. Hormuth et al. • Frontiers in Artificial Intelligence (2023)

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties ...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2023.1222612