Closed editorialbot closed 1 month ago
Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.
For a list of things I can do to help you, just type:
@editorialbot commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@editorialbot generate pdf
Software report:
github.com/AlDanial/cloc v 1.90 T=0.18 s (668.8 files/s, 261137.3 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
Python 67 3037 4303 8814
Jupyter Notebook 30 0 24675 3907
Markdown 10 99 0 282
TeX 1 25 0 185
reStructuredText 2 152 208 153
YAML 5 20 7 147
DOS Batch 1 8 1 26
make 1 4 7 9
TOML 1 1 0 4
-------------------------------------------------------------------------------
SUM: 118 3346 29201 13527
-------------------------------------------------------------------------------
Commit count by author:
342 Scott Linderman
178 Peter G. Chang
135 xinglong
131 Kevin P Murphy
83 karalleyna
79 gileshd
69 Gerardo Duran-Martin
60 petergchang
26 Caleb Weinreb
18 libby
14 kostastsa
11 slinderman
10 Elizabeth DuPre
8 Kevin Murphy
6 andrewwarrington
6 davidzoltowski
6 patel-zeel
4 Ravin Kumar
3 Aleyna Kara
2 Yixiu Zhao
2 Zeel B Patel
2 partev
1 Collin Schlager
1 Jake VanderPlas
1 Jason Davies
1 RaulPL
1 Xinglong
1 Xinglong Li
1 xinglong-li
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- None
MISSING DOIs
- No DOI given, and none found for title: Computation through neural population dynamics
- No DOI given, and none found for title: Probabilistic Machine Learning: Advanced Topics
- No DOI given, and none found for title: Bayesian filtering and smoothing
- No DOI given, and none found for title: JAX: composable transformations of Python+NumPy pr...
- No DOI given, and none found for title: Revisiting structured variational autoencoders
- No DOI given, and none found for title: Switching autoregressive low-rank tensor models
- No DOI given, and none found for title: Low-rank extended Kalman filtering for online lear...
- 10.1101/2023.03.16.532307 may be a valid DOI for title: Keypoint-MoSeq: parsing behavior by linking point ...
- No DOI given, and none found for title: PyHSMM: Bayesian inference in HSMMs and HMMs
- No DOI given, and none found for title: Code Companion for Bayesian Filtering and Smoothin...
- No DOI given, and none found for title: SSM: Bayesian Learning and Inference for State Spa...
- No DOI given, and none found for title: JSL: JAX State-Space models (SSM) Library
- 10.25080/majora-92bf1922-011 may be a valid DOI for title: statsmodels: Econometric and statistical modeling ...
- No DOI given, and none found for title: hmmlearn
- No DOI given, and none found for title: Biological sequence analysis: Probabilistic models...
- 10.1016/j.tree.2007.10.009 may be a valid DOI for title: State-space models of individual animal movement
- No DOI given, and none found for title: Bayesian analysis of stochastic volatility models
- No DOI given, and none found for title: A local ensemble Kalman filter for atmospheric dat...
- No DOI given, and none found for title: Parallel tridiagonal equation solvers
- 10.1109/tac.2020.2976316 may be a valid DOI for title: Temporal parallelization of Bayesian smoothers
- 10.1109/tsp.2021.3103338 may be a valid DOI for title: Temporal parallelization of inference in hidden Ma...
- No DOI given, and none found for title: Structural Time Series (STS) in JAX
INVALID DOIs
- None
Paper file info:
📄 Wordcount for paper.md
is 960
✅ The paper includes a Statement of need
section
License info:
✅ License found: MIT License
(Valid open source OSI approved license)
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Five most similar historical JOSS papers:
HiddenMarkovModels.jl: generic, fast and reliable state space modeling
Submitting author: @gdalle
Handling editor: @jbytecode (Active)
Reviewers: @DanielRivasMD, @dmbates
Similarity score: 0.7444
GPJax: A Gaussian Process Framework in JAX
Submitting author: @thomaspinder
Handling editor: @dfm (Active)
Reviewers: @gpleiss, @theorashid
Similarity score: 0.7331
flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX
Submitting author: @kazewong
Handling editor: @rkurchin (Active)
Reviewers: @matt-graham, @Daniel-Dodd
Similarity score: 0.7138
pypfilt: a particle filter for Python
Submitting author: @robmoss
Handling editor: @diehlpk (Active)
Reviewers: @tbrown122387, @Karangupta1994
Similarity score: 0.7027
RxInfer: A Julia package for reactive real-time Bayesian inference
Submitting author: @bvdmitri
Handling editor: @jmschrei (Active)
Reviewers: @dhvalden, @alstat
Similarity score: 0.6969
⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.
:wave: @slinderman - thanks for the submission. While I get an editor set up for you, could you please add a "Statement of Need" section to the paper and address the missing DOI in the message above if they are applicable. Also, I appreciate you keeping the word count at around 1000 words - thank you!
@editorialbot invite @osorensen as editor
Just getting your portfolio built back up @osorensen. Thanks!
Invitation to edit this submission sent!
Thanks, @crvernon! I've added the missing DOIs. Please note that some online resources (e.g., GitHub repositories for related packages) do not have DOIs. I also confirmed that the paper has a "Statement of need" section.
@editorialbot add @osorensen as editor
Assigned! @osorensen is now the editor
@editorialbot generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Five most similar historical JOSS papers:
HiddenMarkovModels.jl: generic, fast and reliable state space modeling
Submitting author: @gdalle
Handling editor: @jbytecode (Active)
Reviewers: @DanielRivasMD, @dmbates
Similarity score: 0.7350
GPJax: A Gaussian Process Framework in JAX
Submitting author: @thomaspinder
Handling editor: @dfm (Active)
Reviewers: @gpleiss, @theorashid
Similarity score: 0.7315
flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX
Submitting author: @kazewong
Handling editor: @rkurchin (Active)
Reviewers: @matt-graham, @Daniel-Dodd
Similarity score: 0.7072
PyNumDiff: A Python package for numerical differentiation of noisy time-series data
Submitting author: @florisvb
Handling editor: @christinahedges (Retired)
Reviewers: @pmli, @billtubbs
Similarity score: 0.6858
RxInfer: A Julia package for reactive real-time Bayesian inference
Submitting author: @bvdmitri
Handling editor: @jmschrei (Active)
Reviewers: @dhvalden, @alstat
Similarity score: 0.6854
⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.
👋 @Saran-nns, @GarrettMerz, @edeno, @thomaspinder, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
I can review
@editorialbot add @thomaspinder as reviewer
@thomaspinder added to the reviewers list!
👋 @gdalle, @florisvb, @bvdmitri, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
Yeah I can definitely review this one! Although I coded the Julia counterpart so there is a slight competition here 😉
@editorialbot add @gdalle as reviewer
@gdalle added to the reviewers list!
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/7069.
Sorry I was out of town the last 2 weeks, but it looks like you have enough reviewers for this now?
On Sat, Aug 3, 2024 at 2:22 AM Øystein Sørensen @.***> wrote:
👋 @gdalle https://github.com/gdalle, @florisvb https://github.com/florisvb, @bvdmitri https://github.com/bvdmitri, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html
— Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/7029#issuecomment-2266651588, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAB4EPAXFPD2YQPISOYFGM3ZPSOO3AVCNFSM6AAAAABLMO57NSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENRWGY2TCNJYHA . You are receiving this because you were mentioned.Message ID: @.***>
-- Floris van Breugel | http://www.florisvanbreugel.com Assistant Professor of Mechanical Engineering & Graduate Program for Neuroscience University of Nevada, Reno
Wildlife and Landscape Photography Galleries: http://www.ArtInNaturePhotography.com/ Blog: http://www.ArtInNaturePhotography.com/wordpress/
Indeed @florisvb, we have enough reviewers, but thanks anyway
Submitting author: !--author-handle-->@slinderman<!--end-author-handle-- (Scott Linderman) Repository: https://github.com/probml/dynamax Branch with paper.md (empty if default branch): paper Version: v0.1.4 Editor: !--editor-->@osorensen<!--end-editor-- Reviewers: @thomaspinder, @gdalle Managing EiC: Chris Vernon
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @slinderman. Currently, there isn't a JOSS editor assigned to your paper.
@slinderman if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type: