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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
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
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
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
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
How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated

variational-bayes · GitHub Topics · GitHub
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
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 - ExplainableML/BayesCap: (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

GitHub - fate-ewi/bayesdfa: Bayesian DFA with Stan
GitHub - fate-ewi/bayesdfa: Bayesian DFA with Stan

Expert-validated estimation of diagnostic uncertainty for deep neural  networks in diabetic retinopathy detection - ScienceDirect
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection - ScienceDirect

GitHub - ganlumomo/BKISemanticMapping: Bayesian Spatial Kernel Smoothing  for Scalable Dense Semantic Mapping
GitHub - ganlumomo/BKISemanticMapping: Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

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
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
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 - 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.
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
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 - 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
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
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 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
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
Single-subject analysis of N400 event-related potential component with five different methods - ScienceDirect

PDF) Beyond Kappa: A Review of Interrater Agreement Measures
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
A measure of agreement across numerous conditions: assessing when changes in network structures are tissue-specific | BMC Genomics | Full Text