See also: Advanced Data Analysis from an Elementary Point of View; Introduction to Statistical Computing

- Data over Space and Time, Lectures 7: Linear Prediction for Time Series
- Data over Space and Time, Lectures 6: Optimal Linear Prediction
- Data over Space and Time, Lectures 5: Principal Components Analysis II
- Data over Space and Time, Lectures 4: Principal Components Analysis I
- Data over Space and Time, Lectures 2 and 3: Smoothing, Trends, Detrending
- Data over Space and Time, Lecture 1: Introduction to the Course
- Course Announcement: Data over Space and Time (36-467/667), Fall 2018
- Course Announcements: Statistical Network Models, Fall 2016
- 36-401, Modern Regression, Fall 2015: Reflections and Lessons Learned
- Kriging in Perspective (Teaching outtakes)
- Books to Read While the Algae Grow in Your Fur, September 2015
- The Teacher Wars: A History of America's Most Embattled Profession (Goldstein)
- Course Announcement: 36-401, Modern Regression, Fall 2015
- Books to Read While the Algae Grow in Your Fur, July 2014
- How Learning Works: Seven Research-Based Principles for Smart Teaching (Ambrose et al.)
- Books to Read While the Algae Grow in Your Fur, May 2013
- How to Solve It: A New Aspect of Mathematical Method (Polya)
- "Going Online: Should we do it? How? Why? What do we gain? What do we lose?"
- Orientation
- Class Announcement: 36-350, Statistical Computing
- On Academic Talks: Memory and Fear
- New "data scientist" is but old "statistician" writ large
- Course Announcement: 36-350, Statistical Computing
- 36-402, Advanced Data Analysis, Spring 2011 (Course Announcement)
- 36-835, Paper of the Week
- 36-757, Advanced Data Analysis: Teaching Handouts (Fall 2010)
- Fall 2010 Classes: 36-757 and 36-835
- 36-490, Undergraduate Research, Spring 2010
- 36-350, Data Mining: Course Materials (Fall 2009)
- Course Announcement: 36-350, Data Mining, Fall 2009
- Chaos, Complexity and Inference: 2009 Syllabus
- Chaos, Complexity and Inference: 2009 Course Announcement
- 36-350, Data-Mining: Self-Evaluation and Lessons Learned
- Minimal Advice to Undergrads on Programming
- Statistics 36-350: Data Mining (Fall 2008)
- Chris Anderson: Aware of All Statistical Traditions (with bonus fall course announcement)
- Memos to Self, re: Pedagogy
- Pedagogical Value
- "Here, bookie-bookie-bookie!"
- Glory and \$500 (VIGRE-funded Undergraduate Research in Statistics at Carnegie Mellon, Spring 2008)
- Chaos, Complexity, and Inference (36-462): Lecture Notes
- Chaos, Complexity, and Inference (36-462): Syllabus
- Chaos, Complexity, and Inference (36-462): Course Announcement
- Glory and \$1500 a Month (VIGRE-funded Summer Undergraduate Research in Statistics at Carnegie Mellon)
- Lecture Notes on Stochastic Processes (Advanced Probability II), Spring 2007
*Again*with the Statistics 754, Stochastic Processes- I Taught Him Everything He Knows
- Data Mining (36-350) Lecture Notes, Weeks 4--7
- Seeking Advice on Introducing Ideological Bias
- A Triumph of Socialist Realism
- Data Mining (36-350) Lecture Notes, Weeks 1--3
- Glory and \$500 (VIGRE-funded Undergraduate Research in Statistics at Carnegie Mellon)
- Go Outside and Play, Why Don't You?
- The Absorbing Boundary
- Lecture Notes on Stochastic Processes (Advanced Probability II)
- Statistics 754, Stochastic Processes (Advanced Probability II)
- Will There Be a Text in My Class?
- A View from Incense-Burner Mountain
- Monday Exam Blogging

Posted at January 01, 1991 12:00 | permanent link