BSL-HEE

Predictive Analytics for Jewelry Sales Using Time Series and Machine Learning
This project leverages time series analysis and machine learning techniques to predict sales for a jewelry company, aiming to enhance forecasting accuracy and optimize inventory management
Predictive Analytics for Jewelry Sales Using Time Series and Machine Learning
Bayesian Time Series Modeling for Market Shares Using R-INLA
This project employs Bayesian Compositional Data time series models in INLA to analyze and predict market shares, providing insights for strategic decision-making
Bayesian Time Series Modeling for Market Shares Using R-INLA
Bayesian Learning for Microbioma
This project applies Bayesian Dirichlet models to investigate the effects of stress on vaginal microbiome composition in a Spanish cohort, providing insights into how stress-related changes in microbiota can impact health
Bayesian Learning for Microbioma
Statistical Machine Learning in Environmental Health
Statistical Machine Learning in Environmental Health leverages algorithms to understand the impacts of environmental factors like air pollution on public health outcomes, particularly during the COVID-19 pandemic.
Statistical Machine Learning in Environmental Health