Skip to content
GitLab
Explore
Sign in
Register
Primary navigation
Search or go to…
Project
M
MultilevelChainSampler
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package Registry
Container Registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Terms and privacy
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Luca Lenz
MultilevelChainSampler
Graph
9ab10cd2f64b45b6d030614aed04339f73c8ad1c
Select Git revision
Branches
2
dev
main
default
protected
2 results
You can move around the graph by using the arrow keys.
Begin with the selected commit
Created with Raphaël 2.2.0
3
Jun
28
May
27
22
Apr
9
8
7
4
26
Mar
25
22
21
20
19
18
15
14
7
9
Feb
2
31
Jan
28
27
25
20
15
10
9
added chain saving utility
main
main
finally fixed dims argument in chainplot
update
reduce to plot to `dims` dimensions
index error; updated chainplot readme
added visualization, MH sample bundling, autocor statistics
fixed typo
Merge branch 'dev'
removed files
dev
dev
cleaned docs
updated readme
Update .gitlab-ci.yml file
Update .gitlab-ci.yml
cleaned docs
Merge branch 'dev'
docs to single page
Update .gitlab-ci.yml file
Update .gitlab-ci.yml file
Update .gitlab-ci.yml file
Update .gitlab-ci.yml file
Added CI/CD .gitlab-ci.yml file
fixed tests
fixed minor issues with proposals and mlda
update docs
updated docs
added docs folder
cyclic proposal now simply transformed random walk;
moved powergrid stuff to other repo
fixed multilevel chains; implemented univariate auto correlation
random size subchain
changed namedtuple to vector for feasible sequence construction; nicer matern covariance
cleaned chain sample size hinting; bundle multi samples to special MultilevelChains struct
finished multilevel delayed acceptance
implemented gravity survey;
fixed more chain size errors, updated tests
fixed output size error
implemented mlda
tested MH sampler, added multilevel state and proposal
fixed sampling base
added pypsa model
Loading