Noteworthy changes include: the correct solution to the first multinomial model in Section 10.16; a coherent workflow for the Gaussian process model from Section 13.4; corrections to some of the post-processing workflows for the measurement-error models in Section 14.1; refitting all models with the current official version of brms, version 2.13.5; improved in-text citations and reference sections using BibTex, Better BibTeX, and zotero; and minor prose, hyperlink, and code edits throughout
Hierarchical multinomial models 2 Multinomial processing tree models are widely used in many areas o...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
We provide a correction to the expression for scoring Gaussian directed acyclic graphical models der...
Major improvements include: a corrected workflow for fitting single-level b-spline models (Section ...
Noteworthy changes include: substantial expansions to sections 10.3.1 (multinomial regression) an...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Noteworthy changes include: using the Metropolis algorithm to fit the bivariate Bernoulli model for...
Major improvements include: an as_draws_df()-oriented workflow to replace the depreciated posterior...
The notable updates are: the addition of Chapter 22 for multinomial regression, more prose and reso...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Noteworthy changes include: finally reproducing the simulation necessary for Figure 7.3 (see GitHub...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
General Better support for multivariate-response-models from brms. Support for cumulative-link-m...
2007 I, Edward Snelson, confirm that the work presented in this thesis is my own. Where information ...
This is the supplementary material for article "Evaluating Gaussian Process Metamodels and Sequentia...
Hierarchical multinomial models 2 Multinomial processing tree models are widely used in many areas o...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
We provide a correction to the expression for scoring Gaussian directed acyclic graphical models der...
Major improvements include: a corrected workflow for fitting single-level b-spline models (Section ...
Noteworthy changes include: substantial expansions to sections 10.3.1 (multinomial regression) an...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Noteworthy changes include: using the Metropolis algorithm to fit the bivariate Bernoulli model for...
Major improvements include: an as_draws_df()-oriented workflow to replace the depreciated posterior...
The notable updates are: the addition of Chapter 22 for multinomial regression, more prose and reso...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Noteworthy changes include: finally reproducing the simulation necessary for Figure 7.3 (see GitHub...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
General Better support for multivariate-response-models from brms. Support for cumulative-link-m...
2007 I, Edward Snelson, confirm that the work presented in this thesis is my own. Where information ...
This is the supplementary material for article "Evaluating Gaussian Process Metamodels and Sequentia...
Hierarchical multinomial models 2 Multinomial processing tree models are widely used in many areas o...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
We provide a correction to the expression for scoring Gaussian directed acyclic graphical models der...