Show threadRich Stein (he/him)Apr 28

From PubMed (2019): "A Statistical Timetable for the Sub-2-Hour Marathon" https://pubmed.ncbi.nlm.nih.gov/30817713/ Also check out the citations and links. Full text: https://pmc.ncbi.nlm.nih.gov/articles/PMC6613719/

Link to the full study and dataset from European PMC server — this is the 2019 version. There is substantial data that would have to be appended to update the model's predictive accuracy.
https://europepmc.org/article/MED/30817713
#running #marathon #sports #WorldRecord #StatisticalModel

A Statistical Timetable for the Sub-2-Hour Marathon - PubMed

The study is the first to address all three related aspects of world record marathon performance (sub-2 h, limits, gender equivalence) in a single, unified modeling framework and provides many avenues for further exploration and insight.

PubMed
Show threadRich Stein (he/him)Apr 27

Would far prefer reading about this past weekend's incredible world record marathon performance by Kenyan Sabastian Sawe in London and a model designed to estimate the limits of human performance — how fast can they go? — than idle speculation by pundits as to what will happen next re. Iran — so here you go:

"Kenya’s Sawe breaks the 2-hour barrier: what’s next for the men’s marathon world record?"
https://theconversation.com/kenyas-sawe-breaks-the-2-hour-barrier-whats-next-for-the-mens-marathon-world-record-281568
#running #marathon #sports #WorldRecord #StatisticalModel 1/

Kenya’s Sawe breaks the 2-hour barrier: what’s next for the men’s marathon world record?

The statistical arc of human endeavour in the marathon keeps bending upwards. There is still much to be inspired by.

The Conversation
💧🌏 Greg CocksMay 28, 2025
Satellite-Based Spatial-Statistical Modeling Of Daily Stream Water Temperatures At The CONUS Scale
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https://doi.org/10.1016/j.jhydrol.2025.133321 <-- shared paper
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#GIS #spatial #mapping #Streamtemperature #Rivertemperature #Watertemperature #Statisticalmodel #Satellite #remotesensing #ContiguousUnitedStates #CONUS #Lower48th #spatialstatistics #geostatistics #earthobservation #water #hydrology #stream #river #temperature #surfacewater #model #modeling ##seasons #weather #TempEst2 #climate #urban #natural #rural #ecoregions #ecosystems #streamgage #USGS #fedscience
Le Néandertal se sent las, lasSep 12, 2023

Is there a classical regression model where, for 𝑖=1,…,𝑛,

𝐸(𝑌ᵢ) = 𝑁 𝑝ᵢ

with 𝑁 a known constant, and

𝑝ᵢ=(exp 𝑋ᵢ β) / (∑ⱼ exp 𝑋ⱼ β)

Thus 𝑝ᵢ ∈ (0,1) and ∑ 𝑝ᵢ = 1.

Note that this is *not* a multinomial logistic regression. There is a single vector β to estimate. It should be estimated from a single set of observations 𝑌₁,…,𝑌ₙ (and the covariates 𝑋₁,…, 𝑋ₙ).

#statistics #statisticalmodel #glm #rstats

Phys.orgFeb 22, 2023

Referenced link: https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html
Discuss on https://discu.eu/q/https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html

Originally posted by Phys.org / @physorg_com: http://nitter.platypush.tech/medical_xpress/status/1628517109264437248#m

RT by @physorg_com: Research team creates #statisticalmodel to predict COVID-19 resistance @PLOSONE https://journals.plos.org/plosone/article https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html

Research team creates statistical model to predict COVID-19 resistance

Researchers from Johns Hopkins Medicine and The Johns Hopkins University have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

Medical Xpress
ujuéJan 12, 2023

Según este paper de Langer y colaboradores (2022) (https://doi.org/10.1145/3491102.3517527), en una tarea de evaluación de un trabajo, decir que la va a realizar una #AI genera menos confianza en que la va a desempeñar bien, que si usamos otros términos como #statisticalmodel o #robot.

Y el término #AI también transmite que su desempeño va a ser más injusto que si se dice que la tarea la va a realizar un #algorithm o #statisticalmodel.

Aunque es un estudio que se basa en autoreportes y viñetas (por lo que no podemos extrapolar los resultados a cómo sería el comportamiento en un contexto de uso real) y las diferencias entre los términos no parecen abrumadoras, en #bikolabs nos preguntamos si no habremos quemado ya el término #AI de tanto usarlo.

¿Opiniones?

“Look! It’s a Computer Program! It’s an Algorithm! It’s AI!”: Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems? | Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

ACM Conferences