About
Gianluca Finocchio is a researcher at the Faculty of Business, Economics and Statistics, affiliated with the Department of Statistics and Operations Research. His work focuses on advanced statistical methods and machine learning applications.
Research Interests:
- Variance Estimation
- Gaussian Process
- Latent Factor Models
- Interpretability in Regression
- Response Variable Analysis
- Dimensionality Reduction
- Sharp Bound Estimation
Recent Publications emphasize solutions to ill-posed linear regression problems, including latent factor frameworks and model-free identification techniques. Collaborative works extend these methods to chemical reaction yield modeling using high-throughput experiments.
Collaborations include partnerships with Tatyana Krivobokova, B. Maryasin, and R-A. Morariu in research and presentations at scientific conferences.
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