http://bactra.org/weblog Slow Takes from the Canopy (My Very Own Internet Tradition) en http://bactra.org/weblog/556.html <P>This page will be updated as the semester goes on, if you want to use <a href="http://bactra.org/weblog/556.rss">this RSS feed</a> to track them. Alternately, lecture notes will be linked to on the <a href="http://www.stat.cmu.edu/~cshalizi/462/syllabus.html">course syllabus</a>, which includes the readings. <dl> <dt>Lecture 25 (April 22): Inference on networks</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/25/25.pdf">slides</a></dd> <dt>Lecture 24 (April 15): Contagion on networks</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/24/24.pdf">slides</a></dd> <dt>Lecture 23 (April 10): Collective phenomena and self-organization in agent-based models</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/23/23.pdf">slides</a></dd> <dt>Lecture 22 (April 8): Agents and Agent-Based Models</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/22/22.pdf">slides</a></dd> <dt>Lecture 21 (April 3): Complex networks 2</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/21/21.pdf">slides</a></dd> <dt>Lecture 20 (April 1): Complex networks 1</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/20/20.pdf">slides</a></dd> <dt>Lecture 19 (March 25): Inference from simulations</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/19/19.pdf">slides</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/19/19.R">R</a></dd> <dt>Lecture 18 (March 20): Special problem-solving session for homework 2</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/homework/02/solutions.pdf">partial solutions</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/homework/02/solutions.R">R</a></dd> <dt>Lecture 17 (March 18): Error Statistics and Severe Testing</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/17/17.pdf">slides</a></dd> <dt>Lecture 16 (March 6): Heavy tails 4, testing and evaluation</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/16/16.pdf">slides</a> and <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/16/16.R">R</a> <dt>Lecture 15 (March 4): Heavy tails 3, estimation</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/15/15.pdf">slides</a></dd> <dt>Lecture 14 (February 28): Heavy tails 2, origins</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/14/14.pdf">slides</a></dd> <dt>Lecture 13 (February 26): Heavy tails 1, basics</dt> <dd><a href="http://www.santafe.edu/~aaronc/powerlaws/">General R files</a> for the next several lectures</dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/13/13.pdf">slides</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/13/13.R">R</a></dd> <dt>Lecture 12 (February 21): Self-organization 2 </dt> <dd><dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/12/12.pdf">slides</a></dd> <dt>Lecture 11 (February 19): Cellular automata 2/Excitable media</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/11/11.pdf">slides</a></dd> <dt>Lecture 10 (February 14): Cellular automata 1</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/10/10.pdf">slides</a></dd> <dt>Lecture 9 (February 12): Self-organization 1</dt> <dd>Philip and Phylis Morrison and the Office of Charles and Ray Eames, <cite><a href="http://www.powersof10.com/">Powers of Ten</a></cite></dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/09/09.pdf">slides</a> </dd> <dd><em>see also:</em> <a href="000019.html">Pattern Formation in Cocktails</a></dd> <dt>Lecture 8 (February 7): Determinism and randomness</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/08/Poincare.pdf">Henri Poincar&eacute;, "Chance"</a> (from <cite>Science and Method</cite>, 1908)</dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/08/08.pdf">slides</a></dd> <dt>Lecture 7 (February 5): Information theory</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/07/07.pdf">slides</a></dd> <dd><a href="http://www.mchawking.com/">M.C. Hawking</a>, "Entropy", from <cite>Fear of a Black Hole</cite> [<a href="http://www.mchawking.com/includes/lyrics/entropy_lyrics.php">lyrics</a>; <a href="lectures/07/Entropy.mp3">mp3</a> (radio-safe <cite>Brief History of Rhyme</cite> version)]</dd> <dd>Ray and Charles Eames, <cite><a href="http://www.archive.org/details.php?identifier=communications_primer">A Communications Primer</a></cite> <!--Via Britta Gustafson!--></dd> <dt>Lecture 6 (January 31): Inference for Markov chains and related processes</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/06/06.pdf">slides</a></dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/06/markov-mle.pdf">Note: Maximum Likelihood Estimation for Markov Chains</a></dd> <dt>Lecture 5 (January 29): Symbolic dynamics; stochastics from dynamics</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/05/05.pdf">slides</a></dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/05/topological-entropy-rate.pdf">Note: More on the Topological Entropy Rate</a></dd> <dt>Lecture 4 (January 24): Attractor reconstruction and nonlinear prediction</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/04/04.pdf">slides</a> (see slides for R examples).</dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/04/nonlinear-predictors.pdf">Note: Nonlinear prediction, nearest-neighbors, kernel methods</a></dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/04/lorenz-generator.pl">Lorenz time-series generator</a>, written in Perl.</dd> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/04/lorenz-t50-to-t100-by-1e-3">the Lorenz time series used in the lecture</a></dd> <dt>Lecture 3 (January 22): Attractors</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/03/03.pdf">slides</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/03/03.R">R</a> <dt>Lecture 2 (January 17): More chaos</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/02/02.pdf">slides</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/02/02.R">R</a></dd> <dd><cite><a href="http://math.gmu.edu/~sander/movies/arnold.html">The Arnold Cat Map Movie</a></cite> (starring Marlowe the Cat, directed by <a href="http://math.gmu.edu/~sander/">Evelyn Sander</a>)</dd> <dt>Lecture 1 (January 15): What is a dynamical system? What is chaos? What is a simulation?</dt> <dd><a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/01/01.pdf">slides</a>; <a href="http://www.stat.cmu.edu/~cshalizi/462/lectures/01/01.R">R</a></dd> </dl> <P><span="blognotes"> <a href="cat_corrupting_the_young.html">Corrupting the Young</a>; <a href="cat_complexity.html">Complexity</a>; <a href="cat_enigmas_of_chance.html">Enigmas of Chance</a>; <a href="cat_networks.html">Networks</a> </span>