4-panel comic. (1) [Person 1 with ponytail flanked by person with short hair and another person speaking into microphone at podium] PERSON 1: In the early 2010s, researchers found that many major scientific results couldnβt be reproduced. (2) PERSON 1: Over a decade into the replication crisis, we wanted to see if todayβs studies have become more robust. (3) PERSON 1: Unfortunately, our replication analysis has found exactly the same problems that those 2010s researchers did. (4) [newspaper with image of speakers from previous panels] Headline: Replication Crisis Solved
Replication Crisis
xkcd.com/3117/
21.07.2025 23:54 β π 4862 π 651 π¬ 29 π 28
Research Studentships
π¨3 Departmental PhD Studentships have now become available. The deadline for applications will be 31 of July. Available for overseas and home students.
www.ucl.ac.uk/statistics/p...
11.07.2025 09:13 β π 1 π 3 π¬ 0 π 0
The latest issue of the ISBA bulletin, containing a call for contributed discussions for two papers:
06.07.2025 12:20 β π 2 π 1 π¬ 0 π 0
5-panel comic. (1) [teacher with long hair next to whiteboard] TEACHER: Iβm supposed to give you the tools to do good science. (2) [teacher addressing students] But what *are* those tools? Methodology is hard and there are so many ways to get incorrect results. What is the magic ingredient that makes for good science? (3) TEACHER: To figure it out, I ran a regression with all the factors people say are important: [embedded list in sub-panel, cut off at end] Outcome variable: correct scientific results. Predictors: collaboration; skepticism of othersβ claims; questioning your own beliefs; trying to falsify hypotheses; checking citations; statistical rigor; blinded analysis; financial disclosure; open data (4) TEACHER: The regression says two ingredients are the most crucial: 1) genuine curiosity about the answer to a question, and 2) ammonium hydroxide. (5) STUDENT: Wait, why did *ammonia* score so high? How did it even get on the list? LONG HAIR: ...And now youβre doing good science!
Good Science
xkcd.com/3101/
12.06.2025 20:28 β π 3522 π 629 π¬ 24 π 34
Call for discussion papers 2025: Innovative usages of natural experiments and causal inference in st
Call for discussion papers 2025: Innovative usages of natural experiments and causal inference in statistics and data scienceπ
rss.org.uk/news-publica...
03.06.2025 11:19 β π 2 π 2 π¬ 0 π 1
GitHub - FJRubio67/HazReg: Parametric hazard-based regression models (R package)
Parametric hazard-based regression models (R package) - FJRubio67/HazReg
Not a proper ML guy, but I have used this trick a few times:
1. In the log-likelihood of relative survival models.
github.com/FJRubio67/Ha...
2. Some βintractable likelihoodβ models:
rpubs.com/FJRubio/AMLE...
24.05.2025 17:07 β π 2 π 0 π¬ 0 π 0
Interesting to see cancer epidemiology papers in the top 10:
15.04.2025 11:53 β π 2 π 0 π¬ 0 π 0
3 year PDRA position in the OCEAN project (https://oceanerc.com/) to work at Warwick with Gareth Roberts, Adam Johansen and other OCEAN Researchers on a range of topics around scalable distributed computation. Deadline 10th April 2025 at 11.55pm UK time. Details at
warwick-careers.tal....
25.03.2025 12:00 β π 3 π 1 π¬ 0 π 0
Or, to clarify notation:
12.03.2025 13:44 β π 2 π 0 π¬ 1 π 0
Archive Request xkcd.com/3052
17.02.2025 23:52 β π 15268 π 1584 π¬ 122 π 82
π Happy 199th birthday, UCL! π
Weβre just one year away from celebrating 200 years of innovation, discovery, and impact.
UCL has always been a place of firsts. Now, we look ahead to an exciting bicentenary year!
Learn more: www.ucl.ac.uk/news/2025/fe...
#UCL200 #UCLFoundationDay #UCLBirthday
11.02.2025 11:57 β π 59 π 27 π¬ 0 π 1
Hi #stats and #datascience community, we are compiling a list of resources for teaching multivariable thinking. Please feel free to share any resources that you might have developed and/or use in your own teaching. I'd appreciate it if you can help me spread the word.
10.02.2025 18:05 β π 18 π 9 π¬ 2 π 2
CRiSM Event 2025
I'm really looking forward to the CRiSM 2.0 Conference warwick.ac.uk/fac/sci/stat... from 21st-23rd May. We've been lucky enough to get a really nice list of speakers; registrations open now if anyone is in the market for some interesting talks in May.
06.02.2025 20:52 β π 7 π 6 π¬ 0 π 0
Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland
Now recruiting new PIs in artificial intelligence and machine learning
I have big news: @ellis.eu has launched its 2nd major research center, @ellisfinland.bsky.social! I have agreed to start as founding director & the first call for PI positions is open. This is a major opportunity for outstanding researchers, join us! ellisinstitute.fi/PI-recruit
04.02.2025 14:40 β π 58 π 26 π¬ 3 π 3
Interesting short paper about the debates on Bayesian inference in the 1950s
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage
- Stephen M Stigler
doi.org/10.1093/jrss...
17.01.2025 09:22 β π 4 π 1 π¬ 0 π 0
Looks to be a really nice read; clear that the man enjoys writing!
arxiv.org/abs/2501.00925
'Fisher Information in Kinetic Theory'
- CΓ©dric Villani
03.01.2025 09:55 β π 54 π 9 π¬ 2 π 2
Diagram with large number: 2.7.123
First β2β is commented: Proud version. Bump when you are proud of the release
Second β7β is commented: Default version. Just normal/okay releases
Third β123β is commented: Shame version. Bump when fixing things too embarrassing to admit
I propose we replace semantic versioning with pride versioning
21.12.2024 19:07 β π 2534 π 737 π¬ 34 π 52
Winter 2025 - Researcher positions in AI and machine learning β FCAI
Postdoc and doctoral student positions in developing Bayesian methods! The positions are funded by Finnish Center for Artificial Intelligence FCAI and there are many other topics, too, but if you specify me as the preferred supervisor then it's going to be Bayesian. fcai.fi/winter-2025-...
19.12.2024 15:34 β π 27 π 13 π¬ 1 π 3
One #postdoc position is still available at the National University of Singapore (NUS) to work on sampling, high-dimensional data-assimilation, and diffusion/flow models. Applications are open until the end of January. Details:
alexxthiery.github.io/jobs/2024_di...
15.12.2024 14:46 β π 41 π 18 π¬ 0 π 0
One of the risks in testing before submitting is that you may end up training chatGPT. So, by the time the assessment is released, the AI may have already learned those questions. It is not clear or certain, though, as we do not know how those AIs are trained.
11.12.2024 12:44 β π 1 π 0 π¬ 1 π 0
That is quite good. I know several colleagues who have tested their assessments in ChatGPT and it gets very close to full marks.
11.12.2024 11:03 β π 1 π 0 π¬ 1 π 0
Also as Last Author, so it also solves the problem in medical and epi journals!
11.12.2024 08:45 β π 1 π 0 π¬ 1 π 0
rspatialdata: a collection of data sources and tutorials on downloading and visualizing spatial data with #rstats π»πΊοΈπ
π rspatialdata.github.io
08.12.2024 18:08 β π 100 π 37 π¬ 4 π 2
I can't see why not. Priors and Posteriors quantify uncertainty, it does not mean the true generating model is changing every time.
08.12.2024 13:05 β π 5 π 0 π¬ 5 π 0
Blog and webinar by Young Statisticians Europe (YSE) of FENStatS, supported by the Bernoulli Society and the Institute of Mathematical Statistics.
Notes on economics and more. Click to read Paul Krugman, a Substack publication with hundreds of thousands of subscribers.
[bridged from https://paulkrugman.substack.com/ on the web: https://fed.brid.gy/web/paulkrugman.substack.com ]
Supporting the Formal Mathematics revolution
I'm a mathematical physicist who likes explaining stuff. Sometimes I work at the Topos Institute. Check out my blog! I'm also a member of the n-Category [β¦]
[bridged from https://mathstodon.xyz/@johncarlosbaez on the fediverse by https://fed.brid.gy/ ]
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
β€οΈπ π£οΈDE|EN|FR #RStats | #EconSky | #NAFO βcrypto|nft|ai|antivaxx|bots
Professor of Biostatistics. University of Melbourne & Murdoch Childrenβs Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
Medical Statistician at University College London.
Statistics & Probability Letters publishes concise articles covering research findings in statistics and probability.
Bluesky social of Statistics & Probability Letters
Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/
Asst. Professor of Teaching at UCSC #rstats malfaro.netlify.app
Researcher in Statistics and AI | Specialisms: Reinforcement Learning, Bandits
Lecturer @ Lancaster University | he/him | π³οΈβππ΄σ §σ ’σ ³σ £σ ΄σ Ώ | views own
Book nerd π | Dog lover πΆ | Inconsistent runner π
https://www.lancaster.ac.uk/staff/grantj/
Coordinator & Co-editor, @youngstatsproject.bsky.social, YSE; Joint Coordinator, MSS Stat D; Officer and DMC rep, @emergingapps.bsky.social; Asst. Prof. and Researcher, IER and SEB, University of Ljubljana
Professor of Statistics at University College Dublin.
Highly interdisciplinary University of Manchester network of over 2000+ researchers across 30 disciplines and the whole range of digital research.
https://www.digitalfutures.manchester.ac.uk/
Subscribe to newsletter: https://tinyurl.com/digitalfuturesuom
PhD student at UCL Statistical Science working at the intersection of Bayesian modelling and computation