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PENN STATE 2022 – NUMERICAL METHODS BY KEN JUDD
Introduction
This website contains materials related to my 2022 visit to Penn State.
March 15, 2022
- 1 Max Likelihood Idea.nb.pdf
- 2 Sets for searching.nb.pdf
- 3 Example 1a.nb.pdf
- 3b Global optimization of statistical functions with simulated annealing.pdf
- 4 Derivative-free_optimization.pdf
- 5 PDFO (Powell’s Derivative-Free Optimization solvers) – File Exchange – MATLAB Central.pdf
- 6 DGO.pdf
- 7 Judd PSU lecture March 15 2022.pdf
- Confidence interval – Wikipedia COMMENTS.pdf
March 17, 2022
- 1 Example 1 Evaluation.nb.pdf
- 2 Example 1.nb.pdf
- 3 Example 2Zurich.nb
- 4-Example-3.nb_.pdf
- 5-PennState-Sparse-grid-approximation-Bus-CI.pdf
- Computation-of-Two-and-Three-Dimensional-Confidence-Regions-With-the-Likelihood-Ratio.pdf
- Inference-Likelihood-Ratio-vs.-Wald-approaches.pdf
- Judd-PSU-lecture-March-17-2022.pdf
- Likelihood-ratio_test.pdf
- PennState.pptx
- The-Likelihood-Ratio-Wald-and-Lagrange-Multiplier-Tests-An-Expository-Note.pdf
- Walds-vs-likelihood-rasio-test—The-Stats-Geek.pdf