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### What would you like to share?
The Metropolis-Hastings algorithm is a Markov chain Monte Carlo (MCMC) algorithm used for sampling from complex probability distributions. It's commonly used in Baye…
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see attached...
[Branch 2020 Minor comments for assessment team.docx](https://github.com/pacific-hake/hake-assessment/files/4223339/Branch.2020.Minor.comments.for.assessment.team.docx)
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Hi
Thanks a lot for the paper and for making the code public.
The idea and results are very interesting
I had one question regarding the training of the models used. Would it please be possible to…
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There are a few things that are written in the tutorial which do not match the current code version or lead to errors when run. For example,
- In the section "Markov chain Monte Carlo", the variabl…
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title: "Comparison and Bayesian Estimation of Feature Allocations"
author: "Devin J. Johnson"
date: "September 11, 2023"
---
…
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Dear JOSS editorial staff,
I recently developed R package Rmodule, which permits automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. Modeling correlation matrices is…
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Fill in the YAML below and add your abstract below
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title: "An eclectic overview of MCMC tricks and tools for sampling from tricky posteriors"
author: "Michael Christensen"
date: "Sep 25, 2…
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**Submitting author:** @auggiemarignier (Augustin Marignier)
**Repository:** https://github.com/auggiemarignier/pxmcmc
**Branch with paper.md** (empty if default branch): joss_paper
**Version:** v1.0.…
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[Version: 2023-04-01]
In page 451, just before Algorithm 10.4:
> Convergence is guaranteed since the bound is **convex** wrt each of the factors $q_i$ [Bis06, p. 466].
The bound (ELBO) should…
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name: Large Dataset Notary application
about: Clients should use this application form to request a DataCap allocation via a LDN for a dataset
title: "Galaxy formation and cosmological evolutio…