Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"

05/01/2020
by   Aliaksandr Hubin, et al.
10

In this rejoinder we summarize the comments, questions and remarks on the paper "A novel algorithmic approach to Bayesian Logic Regression" from the discussants. We then respond to those comments, questions and remarks, provide several extensions of the original model and give a tutorial on our R-package EMJMCMC (http://aliaksah.github.io/EMJMCMC2016/)

READ FULL TEXT
06/28/2009

Comments on "A new combination of evidence based on compromise" by K. Yamada

Comments on "A new combination of evidence based on compromise" by K. Ya...
06/24/2019

Comments on the article "A Bayesian conjugate gradient method"

The recent article "A Bayesian conjugate gradient method" by Cockayne, O...
07/05/2017

Like trainer, like bot? Inheritance of bias in algorithmic content moderation

The internet has become a central medium through which `networked public...
11/26/2018

Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"

This article is the rejoinder for the paper "Probabilistic Integration: ...
08/17/2021

What Do Developers Discuss about Code Comments?

Code comments are important for program comprehension, development, and ...
03/28/2021

Extractive Summarization of Related Bug-fixing Comments in Support of Bug Repair

When developers investigate a new bug report, they search for similar pr...
04/06/2021

Discussion of "A Gibbs sampler for a class of random convex polytopes"

An exciting new algorithmic breakthrough has been advanced for how to ca...