https://abaj.ai/tags/latex/Recent content in Latex on Aayush Bajaj's Augmenting InfrastructureHugoen© 2026 Aayush BajajSun, 19 Jul 2026 10:31:40 +1000https://abaj.ai/bazaar/notes/Sun, 19 Jul 2026 10:33:10 +1000https://abaj.ai/bazaar/notes/<p>Typeset study bundles — LaTeX-set PDFs of my own summaries — sold at <a href="https://bazaar.abaj.ai/notes" class="link--external" target="_blank" rel="noreferrer" >bazaar.abaj.ai/notes</a>. The gate for this stall is the strictest in the bazaar: only 100%-own-authorship summaries, no lecturer material, course branding stripped. Free counterparts live across the site&rsquo;s typeset-PDF wiki pages; the paid bundles are the ones polished into standalone books.</p> <h2 id="stat-571-probability-and-measure">STAT 571 — Probability &amp; Measure<a href="#stat-571-probability-and-measure" class="post-heading__anchor" aria-hidden="true">#</a> </h2> <p>My course notes from the University of Alberta&rsquo;s graduate probability-and-measure course: a ~50-page arc from sigma-fields to the ergodic theorem — Carathéodory extension, the convergence theorems, Fubini–Tonelli, L^p, Borel–Cantelli, LLN, CLT — thirteen lectures compressed to revision speed. I write my own notes for every course I take; these ship with the custom LaTeX preamble (Baskervaldx + newtxmath, the theorem environments) so yours can look this good too. <strong>Live</strong> → <a href="https://bazaar.abaj.ai/p/measure-theory-notes" class="link--external" target="_blank" rel="noreferrer" >/p/measure-theory-notes</a></p>