Data over Space and Time, Lectures 9--13: Filtering, Fourier Analysis, African Population and Slavery, Linear Generative Models
I have fallen behind on posting announcements for the lectures, and I
don't feel like writing five of these at once (*).  So I'll just list them:
-  Separating Signal and Noise with Linear Methods (a.k.a. the Wiener filter and seasonal adjustment; .Rmd)
 -  Fourier Methods I (a.k.a. a child's primer of spectral analysis;  .Rmd)
 -  Midterm review
 -  Guest lecture by Prof. Patrick Manning: "African Population and Migration: Statistical Estimates, 1650--1900" [PDF handout]
 -  Linear Generative Models for Time Series (a.k.a. the eigendecomposition of the evolution operator is the source of all knowledge; .Rmd)
 -  Linear Generative Models for Spatial and Spatio-Temporal Data (a.k.a. conditional and simultaneous autoregressions; .Rmd)
 
*: Yes, this is a sign that I need to change my
workflow.  Several readers have
recommended Blogdown, which
looks good, but which I haven't had a chance to try out yet.
Data over Space and Time
 
Posted at October 18, 2018 22:49 | permanent link