Results 151 to 160 of about 898,588 (270)

Bayesian methods for estimating injury rates in sport injury epidemiology. [PDF]

Inj Epidemiol
Chandran A, Lambert B.
europepmc   +1 more source

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. [PDF]

PLoS Comput Biol, 2022
Jiang R, Singh P, Wrede F, Hellander A, Petzold L.   +4 more
europepmc   +1 more source

Bayesian Methods

, 2010
Bayesian statistical methods are widely used in many science and engineering areas including machine intelligence, expert systems, medical imaging, pattern recognition, decision theory, data compression and coding, estimation and prediction, bioinformatics, and data mining. These course notes present the basic principles of Bayesian statistics.
Penttinen, Antti, Piche, Robert
openaire   +1 more source

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States. [PDF]

Infect Dis Model
Lecorvaisier F, Pontier D, Sauvage F, Fouchet D.   +3 more
europepmc   +1 more source

Continuous updating of individual headache forecasting models using Bayesian methods. [PDF]

Headache, 2021
Houle TT, Deng H, Tegeler CH, Turner DP.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Statistical analysis of fluorescence intensity transients with Bayesian methods. [PDF]

Sci Adv
Karimi H, Laasmaa M, Pihlak M, Vendelin M.   +3 more
europepmc   +1 more source

Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history. [PDF]

PLoS One, 2022
Hyafil A, Baumard N.
europepmc   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source