Resources

 

Bayesian statistics

Shorter, online resources: 

 

Books: 

  1. Kruschke, John. Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. Academic Press, 2014.—very accessible,written from an experimental psychology perspective.
  2.  Gelman, Andrew, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin. Bayesian Data Analysis. CRC Press, 2013.—written from a statistical (and computational) perspective, but has many important discussion about prior selection (especially for non-experimental data). It is also important to understand what statisticians (and computational folks focused on data analysis algorithms) are concerned with when designing these techniques.
  3.  Gelman, Andrew, and Jennifer Hill. Data analysis using regression and multilevel/hierarchical models.

 

Forced alignment

  • For an overview of why forced aligners are great look at my slides from my talk on them
  • To get textgrids, try any one of these forced aligners: p2fa, SPPAS, FAVE-align
  • For help setting up the p2fa on a mac, try linguisticmystic

Praat resources