How to Use Bayesian Methods for Accurate Financial Forecasting

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Industry Classification Benchmark (ICB): A Guide for Investors

The Industry Classification Benchmark (ICB) is a globally recognized system that categorizes stocks into industries, ...
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Association for Clinical Genomic Science (ACGS) guidelines for the classification of oncogenicity of somatic variants in cancer: recommendations by the UK somatic variant ...

Comprehensive genomic testing in routine cancer care pathways has created the need to interpret the consequences of somatic (acquired) genomic variants beyond the currently well-characterised driver ...
TCTMD

Case Examples of Bayesian Study Designs Used to Accelerate Assessments of Device Safety and Efficacy in SHD

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
Scientific Research Publishing

Ballico, E., Catanese, F. and Ciliberto, C. (1992) Trento Examples. In: Ballico, E., Catanese, F. and Ciliberto, C., Eds., Classification of Irregular Varieties, Springer, 134-139.

ABSTRACT: The Hodge conjecture states that the Hodge group of Hodge classes is equal to the algebraic group generated by algebraic subvarieties on a Hodge manifold. To prove the conjecture, we ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Scientific Research Publishing

McElreath, R. (2020) Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.

ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...
marktechpost

BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Multi-Label Text Classification

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...