Journal of the Royal Statistical Society: Series A

We are also in the butterfly site! (find us with the handle jrssa.bsky.social)

But it’s not just individuals… Which league has the most consistent refereeing? We compare between-referee variation across the Big 6 using posterior distributions.

And which referees are the most — and least — card-happy? 🔝 Alejandro Hernández 🔻 Alberola Rojas Estimated referee effects from a Bayesian hierarchical model 👇📊

And our spotlight is this paper by Pete Philipson (Newcastle Uni): 🟨 Which team gets the most yellow cards in Europe’s Big 6 leagues? 🔝 Getafe 🔻 Liverpool Model-based rankings (with uncertainty) across EPL, LaLiga, Serie A, Bundesliga & Ligue 1 👇 doi.org/10.1093/jrsssa…

⚡ Salahshour et al. optimize node selection and resource allocation in the Bitcoin Lightning Network, balancing incentives and resilience. #Blockchain #NetworkScience → doi.org/10.1093/jrsssa… (11/11)

✈️ Zhang et al. model international outmigration in Asia using a spatiotemporal zero-inflated CMP regression — handling excess zeros and overdispersion at once. #Migration #Demography → doi.org/10.1093/jrsssa… (10/11)

Hi everyone, we wanted to make an update on the papers that were published on february: lots of cool things happened! Here we go (1/11):

11/11 - Career trajectories Voldoire et al. model career paths of French elite civil servants using whole-population data - what we observe vs. what we can infer 🇫🇷 doi.org/10.1093/jrsssa…

10/11 - Sports equity Cashmore et al. on gender disparities in horse racing - examining whether female jockeys face systematic placement disadvantages 🏇 doi.org/10.1093/jrsssa…

Hi everyone, sorry for being away for a while, we wanted to update you with the new papers! From mortality patterns to tax fraud detection, here's what's new, with 11 new great studies 🧵👇