Tootfinder

Being hit by an SUV increases the likelihood of death or serious injury
https://www.lshtm.ac.uk/newsevents/news/2025/being-hit-suv-increases-likelihood-death-or-serious-injury
So, when will lawmakers catch up…

Being hit by an SUV increases the likelihood of death or serious injury | LSHTM
The likelihood of a pedestrian or cyclist being fatally injured is 44% higher if they are hit by a sports utility vehicle (SUV) or light truck vehicle (LTV) compared with smaller passenger cars, new

The GOP doesn't really care how the pardons were signed (Philip Bump/Washington Post)
https://www.washingtonpost.com/opinions/2025/06/05/autopen-biden-legality-pardons-maga/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzQ5MDk2MDAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzUwNDc4Mzk5LCJpYXQiOjE3NDkwOTYwMDAsImp0aSI6ImI2ZGJjOTUzLTJjYmEtNGQ3Yi05OGNiLTJkYjdiNjE1ZmJjYSIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9vcGluaW9ucy8yMDI1LzA2LzA1L2F1dG9wZW4tYmlkZW4tbGVnYWxpdHktcGFyZG9ucy1tYWdhLyJ9.ZkaG379HeQtZz74powSjPMhkEJB5Oa-zVX677wwhsW4&itid=gfta
http://www.memeorandum.com/250605/p48#a250605p48

"Loyalists just want a pretext to void Biden’s legacy — and centralize power under Trump."
Opinion | The autopen outrage is about MAGA politics, not law - The Washington Post
https://archive.ph/2025.06.05-131426/https://www.washingtonpost.com/opinions/2025/06/05/autopen-biden-legality-pardons-maga/

If you're (like me) trying to create a Local Place Plan for your locality, and are struggling to analyse data from the Place Standard Tool, I've written a wee #Clojure program, leveraging Google's Gemini #LLM, to do it for you.
If you're just trying to analyse data from some other spre…

GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
IceCube Collaboration
https://arxiv.org/abs/2506.04491 https:…

GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
We present GollumFit, a framework designed for performing binned-likelihood analyses on neutrino telescope data. GollumFit incorporates model parameters common to any neutrino telescope and also model parameters specific to the IceCube Neutrino Observatory. We provide a high-level overview of its key features and how the code is organized. We then discuss the performance of the fitting in a typical analysis scenario, highlighting the ability to fit over tens of nuisance parameters. We present s…

Trump ordered his White House counsel and the attorney general on Wednesday to investigate former President Joseph R. Biden Jr. and his staff -- in Mr. Trump’s latest attempt to stoke outlandish conspiracy theories about his predecessor.
In an executive order, Mr. Trump put the power and resources of the federal government to work examining whether some of Mr. Biden’s presidential actions were legally invalid because his aides had enacted those policies without his knowledge.
The e…

Trump Orders Investigation of Biden and His Aides
The executive order is the latest effort by President Trump to stoke outlandish conspiracy theories about his predecessor and question the legality of his actions in office.

Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and P\'olya-Gamma Augmentation
Shu Tamano, Yui Tomo
https://arxiv.org/abs/2506.04675

Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation
The Cox regression model and its Bayesian extensions are widely used in survival analysis. However, standard Bayesian approaches require modeling of the baseline hazard, and their full conditional distributions lack closed-form expressions. Therefore, the Metropolis-Hastings sampling algorithm is typically employed, whose efficiency is highly sensitive to the choice of proposal distribution. To address these issues, we propose the GS4Cox, an efficient Gibbs sampling algorithm for the Cox regres…

This https://arxiv.org/abs/2502.00805 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Constraints on Lorentz Invariance Violation from Gamma-ray Burst rest-frame spectral lags using Profile Likelihood
We reanalyze the spectral lag data for 56 Gamma-Ray Bursts (GRBs) in the cosmological rest frame to search for Lorentz Invariance Violation (LIV) using frequentist inference. For this purpose, we use the technique of profile likelihood to deal with the nuisance parameters, corresponding to a constant time lag in the GRB rest frame and an unknown intrinsic scatter, while the parameter of interest is the energy scale for LIV ($E_{QG}$). With this method, we do not obtain a global minimum for $χ^…

Get me out of this hole: a profile likelihood approach to identifying and avoiding inferior local optima in choice models
Stephane Hess, David Bunch, Andrew Daly
https://arxiv.org/abs/2506.02722

Get me out of this hole: a profile likelihood approach to identifying and avoiding inferior local optima in choice models
Choice modellers routinely acknowledge the risk of convergence to inferior local optima when using structures other than a simple linear-in-parameters logit model. At the same time, there is no consensus on appropriate mechanisms for addressing this issue. Most analysts seem to ignore the problem, while others try a set of different starting values, or put their faith in what they believe to be more robust estimation approaches. This paper puts forward the use of a profile likelihood approach t…

This https://arxiv.org/abs/2212.02658 has been replaced.
link: https://scholar.google.com/scholar?q=a

Pooling information in likelihood-free inference
Likelihood-free inference (LFI) methods, such as approximate Bayesian computation, have become commonplace for conducting inference in complex models. Many approaches are based on summary statistics or discrepancies derived from synthetic data. However, determining which summary statistics or discrepancies to use for constructing the posterior remains a challenging question, both practically and theoretically. Instead of relying on a single vector of summaries for inference, we propose a new po…