| _version_ | 1866902146780233728 |
|---|---|
| author | Vladislav Morozov |
| author_facet | Vladislav Morozov |
| contents | <h2>Version 1.0.0 - Full Course Version</h2> <h3>Overview</h3> <p>With the addition on a block on prediction, the course materials now reflect the first full version of the class.</p> <p>The four blocks included in this version are:</p> <ol> <li>A deeper look at asymptotic theory.</li> <li>Asymptotic inference.</li> <li>Panel data.</li> <li>Introduction to statistical and machine learning.</li> </ol> <h3>New Material Included</h3> <p>An introduction to statistical and machine learning:</p> <ul> <li>Overview of learning scenarios and applications.</li> <li>Risk and hypothesis classes.</li> <li>Empirical risk minimization and surrogate risk minimization.</li> <li>The bias-complexity trade-off and model selection.</li> <li>Aspects of PAC learning and the no free lunch theorem.</li> <li>Special properties of the MSE: Bayes regressor and the bias-variance trade-off.</li> <li>Practical illustrations of regression and classification problems.</li> <li>An exercise sheet.</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/vladislav-morozov/econometrics-2/compare/v0.2.0...v1.0.0</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16605901 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | vladislav-morozov/econometrics-2: Version 1.0.0 - Full Course Version Vladislav Morozov <h2>Version 1.0.0 - Full Course Version</h2> <h3>Overview</h3> <p>With the addition on a block on prediction, the course materials now reflect the first full version of the class.</p> <p>The four blocks included in this version are:</p> <ol> <li>A deeper look at asymptotic theory.</li> <li>Asymptotic inference.</li> <li>Panel data.</li> <li>Introduction to statistical and machine learning.</li> </ol> <h3>New Material Included</h3> <p>An introduction to statistical and machine learning:</p> <ul> <li>Overview of learning scenarios and applications.</li> <li>Risk and hypothesis classes.</li> <li>Empirical risk minimization and surrogate risk minimization.</li> <li>The bias-complexity trade-off and model selection.</li> <li>Aspects of PAC learning and the no free lunch theorem.</li> <li>Special properties of the MSE: Bayes regressor and the bias-variance trade-off.</li> <li>Practical illustrations of regression and classification problems.</li> <li>An exercise sheet.</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/vladislav-morozov/econometrics-2/compare/v0.2.0...v1.0.0</p> |
| title | vladislav-morozov/econometrics-2: Version 1.0.0 - Full Course Version |
| url | https://doi.org/10.5281/zenodo.16605901 |