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High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus - Metallomics (RSC Publishing) DOI:10.1039/C8MT00342D
Method of bayesian concordance and its application in problems of multiclass classification with unbalanced categories
Goodness-of-fit testing for meta-analysis of rare binary events | Scientific Reports
Frontiers | Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI
How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated
variational-bayes · GitHub Topics · GitHub
The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability - Joseph L. Fleiss, Jacob Cohen, 1973
GitHub - ExplainableML/BayesCap: (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
GitHub - fate-ewi/bayesdfa: Bayesian DFA with Stan
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection - ScienceDirect
Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU | Statistics in Biosciences
Entropy | Free Full-Text | Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy
GitHub - fabian-s/spikeSlabGAM: R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.
GitHub - jiangqn/kappa-coefficient: A python script to compute kappa-coefficient, which is a statistical measure of inter-rater agreement.
A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960
GitHub - wlandau/ncb2023: Short course on Bayesian methods for nonclinical statisticians: https://github.com/wlandau/ncb2023
GitHub - giacomodeodato/vinn: A pytorch module to implement Bayesian neural networks with variational inference
Range of correlations in the size distributions of plant proteins | The European Physical Journal Plus
Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis | Communications Biology
Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data | Nature Communications
Single-subject analysis of N400 event-related potential component with five different methods - ScienceDirect
PDF) Beyond Kappa: A Review of Interrater Agreement Measures
A measure of agreement across numerous conditions: assessing when changes in network structures are tissue-specific | BMC Genomics | Full Text