rebuild for 20240207 class

_freeze/schedule/slides/grad-school/execute-results/html.json

@@ -1,7 +1,7 @@
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-    "markdown": "---\nlecture: \"Skills for graduate students\"\nformat: revealjs\nmetadata-files: \n  - _metadata.yml\n---\n---\n---\n\n## {{< meta lecture >}} {.large background-image=\"img/consult.jpeg\" background-opacity=\"0.3\"}\n\n[Stat 550]{.secondary}\n\n[{{< meta author >}}]{.secondary}\n\nLast modified -- 09 January 2024\n\n\n\n$$\n\\DeclareMathOperator*{\\argmin}{argmin}\n\\DeclareMathOperator*{\\argmax}{argmax}\n\\DeclareMathOperator*{\\minimize}{minimize}\n\\DeclareMathOperator*{\\maximize}{maximize}\n\\DeclareMathOperator*{\\find}{find}\n\\DeclareMathOperator{\\st}{subject\\,\\,to}\n\\newcommand{\\E}{E}\n\\newcommand{\\Expect}[1]{\\E\\left[ #1 \\right]}\n\\newcommand{\\Var}[1]{\\mathrm{Var}\\left[ #1 \\right]}\n\\newcommand{\\Cov}[2]{\\mathrm{Cov}\\left[#1,\\ #2\\right]}\n\\newcommand{\\given}{\\mid}\n\\newcommand{\\X}{\\mathbf{X}}\n\\newcommand{\\x}{\\mathbf{x}}\n\\newcommand{\\y}{\\mathbf{y}}\n\\newcommand{\\P}{\\mathcal{P}}\n\\newcommand{\\R}{\\mathbb{R}}\n\\newcommand{\\norm}[1]{\\left\\lVert #1 \\right\\rVert}\n\\newcommand{\\snorm}[1]{\\lVert #1 \\rVert}\n\\newcommand{\\tr}[1]{\\mbox{tr}(#1)}\n\\newcommand{\\U}{\\mathbf{U}}\n\\newcommand{\\D}{\\mathbf{D}}\n\\newcommand{\\V}{\\mathbf{V}}\n$$\n\n\n\n\n## Something happens in graduate school\n\n* As undergrads, you took lots of classes\n* You didn't care that much about all of them\n* Sure, you wanted good grades, but you may not have always wanted to [really learn]{.tertiary} the material\n* And you probably didn't try to go in depth beyond the requirements\n\n. . .\n\n* That has to change in grad school\n* Even if you don't want a to be a professor, to get a PhD, to do an MSc thesis.\n* This is the material that you have decided you will use for the rest of your life\n\n. . .\n\n* If you disagree, then we should talk\n\n\n## Side discussion on \"Reading for research\"\n\n\n* You should \"read\" regularly: set aside an 2-3 hours every week\n* Stay up-to-date on recent research, determine what you find interesting\n* What do people care about? What does it take to write journal articles?\n\n\n## What is \"read\"?\n\n* Start with titles, then abstracts, then intro+conclusion\n* Each is a filter to determine how far to go\n* Pass 3 filters, [read]{.secondary} the paper (should take about ~30 minutes)\n* Don't get bogged down in notation, proofs\n* Organize your documents somehow, make notes in the margins, etc\n* After you [read]{.secondary} it, you should be able to tell me what they show, why it's important, why it's novel\n* If you can, figure out [how]{.tertiary} they show something. This is hard.\n\n\n## How to find and organize papers\n\n* arXiv, AOS, JASA, JCGS have RSS feeds, email lists etc\n* Find a statistician you like who filters\n* Follow reading groups\n* Conference proceedings\n* Become an IMS member, SSC member (ASA costs money:( )\n* BibDesk, Zotero\n\n## Ideal outcome\n\n* If you need to learn something, you can teach yourself\n* Know how to find the basics on the internet\n* Know how to go in depth with real sources\n* Collect a set of resources that you can turn to regularly\n* If you need to read a book, you can\n* If you need to pick up a new coding language, you can\n\n. . .\n\n::: {.callout-note}\n## What this doesn't mean\n\nYou are not expected to have all the answers at the tips of your fingers.\n:::\n\nBut you should get progressively good at finding them.",
+    "markdown": "---\nlecture: \"Skills for graduate students\"\nformat: revealjs\nmetadata-files: \n  - _metadata.yml\n---\n## {{< meta lecture >}} {.large background-image=\"img/consult.jpeg\" background-opacity=\"0.3\"}\n\n[Stat 550]{.secondary}\n\n[{{< meta author >}}]{.secondary}\n\nLast modified -- 06 February 2024\n\n\n\n$$\n\\DeclareMathOperator*{\\argmin}{argmin}\n\\DeclareMathOperator*{\\argmax}{argmax}\n\\DeclareMathOperator*{\\minimize}{minimize}\n\\DeclareMathOperator*{\\maximize}{maximize}\n\\DeclareMathOperator*{\\find}{find}\n\\DeclareMathOperator{\\st}{subject\\,\\,to}\n\\newcommand{\\E}{E}\n\\newcommand{\\Expect}[1]{\\E\\left[ #1 \\right]}\n\\newcommand{\\Var}[1]{\\mathrm{Var}\\left[ #1 \\right]}\n\\newcommand{\\Cov}[2]{\\mathrm{Cov}\\left[#1,\\ #2\\right]}\n\\newcommand{\\given}{\\mid}\n\\newcommand{\\X}{\\mathbf{X}}\n\\newcommand{\\x}{\\mathbf{x}}\n\\newcommand{\\y}{\\mathbf{y}}\n\\newcommand{\\P}{\\mathcal{P}}\n\\newcommand{\\R}{\\mathbb{R}}\n\\newcommand{\\norm}[1]{\\left\\lVert #1 \\right\\rVert}\n\\newcommand{\\snorm}[1]{\\lVert #1 \\rVert}\n\\newcommand{\\tr}[1]{\\mbox{tr}(#1)}\n\\newcommand{\\U}{\\mathbf{U}}\n\\newcommand{\\D}{\\mathbf{D}}\n\\newcommand{\\V}{\\mathbf{V}}\n$$\n\n\n\n\n## Something happens in graduate school\n\n* As undergrads, you took lots of classes\n* You didn't care that much about all of them\n* Sure, you wanted good grades, but you may not have always wanted to [really learn]{.tertiary} the material\n* And you probably didn't try to go in depth beyond the requirements\n\n. . .\n\n* That has to change in grad school\n* Even if you don't want a to be a professor, to get a PhD, to do an MSc thesis.\n* This is the material that you have decided you will use for the rest of your life\n\n. . .\n\n* If you disagree, then we should talk\n\n\n## Side discussion on \"Reading for research\"\n\n\n* You should \"read\" regularly: set aside an 2-3 hours every week\n* Stay up-to-date on recent research, determine what you find interesting\n* What do people care about? What does it take to write journal articles?\n\n\n## What is \"read\"?\n\n* Start with titles, then abstracts, then intro+conclusion\n* Each is a filter to determine how far to go\n* Pass 3 filters, [read]{.secondary} the paper (should take about ~30 minutes)\n* Don't get bogged down in notation, proofs\n* Organize your documents somehow, make notes in the margins, etc\n* After you [read]{.secondary} it, you should be able to tell me what they show, why it's important, why it's novel\n* If you can, figure out [how]{.tertiary} they show something. This is hard.\n\n\n## How to find and organize papers\n\n* arXiv, AOS, JASA, JCGS have RSS feeds, email lists etc\n* Find a statistician you like who filters\n* Follow reading groups\n* Conference proceedings\n* Become an IMS member, SSC member (ASA costs money:( )\n* BibDesk, Zotero\n\n## Ideal outcome\n\n* If you need to learn something, you can teach yourself\n* Know how to find the basics on the internet\n* Know how to go in depth with real sources\n* Collect a set of resources that you can turn to regularly\n* If you need to read a book, you can\n* If you need to pick up a new coding language, you can\n\n. . .\n\n::: {.callout-note}\n## What this doesn't mean\n\nYou are not expected to have all the answers at the tips of your fingers.\n:::\n\nBut you should get progressively good at finding them.",
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