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[lecture] Updates (#479)
* Tom's June 23 edits of two Wald lectures and rearranging order of lectures * updates * updates * updates * updates * updates * update code * updates * updates * minor update * Tom's June 25 edits of first Wald-Friedman lecture * updates * updates * update * minor updates * updates * updates * Tom's June 26 first edits of two Wald lectures * Tom's June 30 edits of two Wald lectures * Tom's July 1 edits of two Wald lectures * Update lectures/wald_friedman.md * Update lectures/wald_friedman.md * Update lectures/wald_friedman.md * Update lectures/wald_friedman.md * update lecrture * updates * update according to John's suggestions * minor update * syntax updates --------- Co-authored-by: thomassargent30 <[email protected]> Co-authored-by: Humphrey Yang <[email protected]>
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lectures/_static/lecture_specific/wald_friedman/wald_dec_rule.tex

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\draw[thick] (0, 0) -- (3, 0) node[below] {};
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%curly bracket
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\draw [decorate, very thick] (s0) -- (s1)
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node [midway, anchor=south, outer sep=10pt]{accept $f_1$};
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node [midway, anchor=south, outer sep=10pt]{accept $f_0$};
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\draw [decorate, very thick] (s1) -- (s2)
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node [midway, anchor=south, outer sep=10pt]{draw again};
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\draw [decorate, very thick] (s2) -- (s3)
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node [midway, anchor=south, outer sep=10pt]{accept $f_0$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a0){};
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\node[below, outer sep=5pt] at (a0){$0$};
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node [midway, anchor=south, outer sep=10pt]{accept $f_1$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a1){};
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\node[below, outer sep=5pt] at (a1){$\beta$};
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\node[below, outer sep=5pt] at (a1){$B$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a2){};
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\node[below, outer sep=5pt] at (a2){$\alpha$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a3){};
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\node[below, outer sep=5pt] at (a3){$1$};
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\node[below, outer sep=25pt] at (1.5, 0){values of $\pi$};
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\node[below, outer sep=5pt] at (a2){$A$};
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\node[below, outer sep=25pt] at (1.5, 0){value of $L_m$};
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\end{tikzpicture}
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\end{document}
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\documentclass[convert={density=300,size=1080x800,outext=.png}]{standalone}
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\usepackage{tikz}
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\usetikzlibrary{decorations.pathreplacing}
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\begin{document}
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%.. tikz::
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\begin{tikzpicture}
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[scale=5, every node/.style={color=black}, decoration={brace,amplitude=7pt}] \coordinate (a0) at (0, 0.0);
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\coordinate (a1) at (1, 0.0);
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\coordinate (a2) at (2, 0.0);
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\coordinate (a3) at (3, 0.0);
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\coordinate (s0) at (0, 0.1);
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\coordinate (s1) at (1, 0.1);
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\coordinate (s2) at (2, 0.1);
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\coordinate (s3) at (3, 0.1);
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% axis
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\draw[thick] (0, 0) -- (3, 0) node[below] {};
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%curly bracket
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\draw [decorate, very thick] (s0) -- (s1)
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node [midway, anchor=south, outer sep=10pt]{accept $f_0$};
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\draw [decorate, very thick] (s1) -- (s2)
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node [midway, anchor=south, outer sep=10pt]{draw again};
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\draw [decorate, very thick] (s2) -- (s3)
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node [midway, anchor=south, outer sep=10pt]{accept $f_1$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a0){};
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\node[below, outer sep=5pt] at (a0){$0$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a1){};
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\node[below, outer sep=5pt] at (a1){$B$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a2){};
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\node[below, outer sep=5pt] at (a2){$A$};
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\node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a3){};
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\node[below, outer sep=5pt] at (a3){$1$};
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\node[below, outer sep=25pt] at (1.5, 0){values of $\pi$};
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\end{tikzpicture}
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\end{document}

lectures/_static/quant-econ.bib

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pages={229--244},
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year={1971},
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publisher={Wiley-Blackwell}
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}
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}
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@article{fischer2024improving,
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title={Improving the (approximate) sequential probability ratio test by avoiding overshoot},
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author={Fischer, Lasse and Ramdas, Aaditya},
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journal={arXiv preprint arXiv:2410.16076},
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year={2024}
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}

lectures/_toc.yml

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- file: back_prop
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- file: rand_resp
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- file: util_rand_resp
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- caption: Bayes Law
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numbered: true
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chapters:
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- file: bayes_nonconj
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- file: ar1_bayes
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- file: ar1_turningpts
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- caption: Statistics and Information
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numbered: true
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chapters:
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- file: likelihood_ratio_process
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- file: imp_sample
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- file: wald_friedman
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- file: wald_friedman_2
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- file: exchangeable
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- file: likelihood_bayes
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- file: mix_model
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- file: navy_captain
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- caption: Linear Programming
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numbered: true
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chapters:
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- file: career
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- file: jv
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- file: mccall_q
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- file: odu
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- caption: Consumption, Savings and Capital
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numbered: true
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chapters:
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- file: egm_policy_iter
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- file: ifp
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- file: ifp_advanced
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- caption: Bayes Law
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numbered: true
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chapters:
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- file: bayes_nonconj
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- file: ar1_bayes
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- file: ar1_turningpts
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- caption: Information
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numbered: true
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chapters:
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- file: odu
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- file: likelihood_ratio_process
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- file: imp_sample
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- file: wald_friedman
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- file: exchangeable
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- file: likelihood_bayes
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- file: mix_model
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- file: navy_captain
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- caption: LQ Control
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numbered: true
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chapters:

lectures/likelihood_ratio_process.md

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A Navy Captain who had been ordered to perform tests of this kind had doubts about it that he
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presented to Milton Friedman, as we describe in {doc}`this lecture <wald_friedman>`.
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(rel_entropy)=
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## Kullback–Leibler Divergence
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Now let’s consider a case in which neither $g$ nor $f$

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