A Must-Have Textbook
Casella & Berger’s Statistical Inference is an absolute must-have for any serious stats shelf. It’s clear, rigorous, and it trains your instincts for estimation, testing, and likelihood.
It’s the kind of book you keep nearby because you’ll reuse it for years.
Best textbook I own😊
New paper out in Computational Statistics! 🎉. With @tbmurphy and Roberto Rocci.
We estimate football players roles with a Bayesian partial-membership model (soft clustering for count data). Tested on 22/23 Serie A player. ⚽️📊
Check it at 👉 doi.org/10.1007/s00180…
📢 We are hiring!
Permanent Associate Professor B (formerly called Lecturer level) of Statistics & Data Science in the Dept of Maths and Stats @sci_engUL.
ℹ️ ul.ie/hrvacancies (Job ID: 072778)
🕐 Closing date: 31/01/25 (12 noon)
✉️ Informal queries: James.Gleeson@ul.ie
@miniapeur A student and I once decided to use zeta in our work so we could learn to write it. Every zeta looked like a xi. Neither of us got any better at writing it. 😂
@Edel_PLopez I’ve once written something like « I have read this manuscript and it’s great. I can’t find any issues with it ». But there’s always something to be fixed in the bibliography. 😂
🚨Excited to share our latest publication in the Journal of the Royal Statistical Society: Series C titled “An Adaptive Functional Regression Framework for Locally Heterogeneous Signals in Spectroscopy.” 1/n
doi.org/10.1093/jrsssc…