https://randomdots8.github.io/enContents © 2026 <a href="mailto:randomdots8@gmail.com">Random Dots</a> <a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/4.0/"> <img alt="Creative Commons License BY-NC-SA" style="border-width:0; margin-bottom:12px;" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png"></a>Fri, 20 Feb 2026 13:23:04 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttps://randomdots8.github.io/posts/Substack/Proof/Economics/asymptotic-sequential-learning/Random Dots<div><blockquote> <p>Review of <a href="http://tamuz.caltech.edu/">Omer Tamuz</a>'s Paper</p> </blockquote> <p><img alt="" src="https://randomdots8.github.io/images/Asymptotic%20Sequential%20Learning.png"></p> <p>In brief, this paper<sup id="fnref:1"><a class="footnote-ref" href="https://randomdots8.github.io/posts/Substack/Proof/Economics/asymptotic-sequential-learning/#fn:1">1</a></sup> focuses on the convergance rate and its dependencies on actions and signals. They try to prove that the convergence occurs quickly with respect to signals' <em>external observations</em> rather than actions using a two state stochastic process. </p> <p><a href="https://randomdots8.github.io/posts/Substack/Proof/Economics/asymptotic-sequential-learning/" style="color: #3578E5;">Read more…</a> (1 min remaining to read)</p></div>economicsresearchhttps://randomdots8.github.io/posts/Substack/Proof/Economics/asymptotic-sequential-learning/Tue, 26 Jun 2018 14:05:59 GMT