Quantitative Research Paper
Forecasting 101: Bayesian Regression
Summary
In this paper, we introduce and analyze the Bayesian framework, a more flexible and robust approach for forecasting house prices in California. We also compare its performance to the results from our previous paper on LASSO and Ridge regressions, demonstrating that the Bayesian model achieves superior predictive accuracy.
Authors
- Federico LazzariniHead of Quantitative Research
- Ianina TarcaQuantitative Research Analyst
Details
- Published
- 25 November 2024
- Division
- Quantitative Research
- Type
- Quantitative Research Paper
- Pages
- 15
- Authors
- 2
Cite this report
Minerva Investment Management Society (2024). Forecasting 101: Bayesian Regression. Quantitative Research. https://minervaims.org/archive/forecasting-101-bayesian-regression-2024
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