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Le Néandertal sous benzo<p>Is there a classical regression model where, for 𝑖=1,…,𝑛,</p><p>𝐸(𝑌ᵢ) = 𝑁 𝑝ᵢ </p><p>with 𝑁 a known constant, and</p><p>𝑝ᵢ=(exp 𝑋ᵢ β) / (∑ⱼ exp 𝑋ⱼ β)</p><p>Thus 𝑝ᵢ ∈ (0,1) and ∑ 𝑝ᵢ = 1. </p><p>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).</p><p><a href="https://mathstodon.xyz/tags/statistics" class="mention hashtag" rel="tag">#<span>statistics</span></a> <a href="https://mathstodon.xyz/tags/statisticalmodel" class="mention hashtag" rel="tag">#<span>statisticalmodel</span></a> <a href="https://mathstodon.xyz/tags/glm" class="mention hashtag" rel="tag">#<span>glm</span></a> <a href="https://mathstodon.xyz/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a></p>
Phys.org<p>Referenced link: <a href="https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medicalxpress.com/news/2023-02</span><span class="invisible">-team-statistical-covid-resistance.html</span></a><br>Discuss on <a href="https://discu.eu/q/https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discu.eu/q/https://medicalxpre</span><span class="invisible">ss.com/news/2023-02-team-statistical-covid-resistance.html</span></a></p><p>Originally posted by Phys.org / @physorg_com: <a href="http://nitter.platypush.tech/medical_xpress/status/1628517109264437248#m" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">http://</span><span class="ellipsis">nitter.platypush.tech/medical_</span><span class="invisible">xpress/status/1628517109264437248#m</span></a></p><p>RT by @physorg_com: Research team creates <a href="https://social.platypush.tech/tags/statisticalmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalmodel</span></a> to predict COVID-19 resistance @PLOSONE <a href="https://journals.plos.org/plosone/article" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.plos.org/plosone/arti</span><span class="invisible">cle</span></a> <a href="https://medicalxpress.com/news/2023-02-team-statistical-covid-resistance.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medicalxpress.com/news/2023-02</span><span class="invisible">-team-statistical-covid-resistance.html</span></a></p>
ujué<p>Según este paper de Langer y colaboradores (2022) (<a href="https://doi.org/10.1145/3491102.3517527" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1145/3491102.351752</span><span class="invisible">7</span></a>), en una tarea de evaluación de un trabajo, decir que la va a realizar una <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> genera menos confianza en que la va a desempeñar bien, que si usamos otros términos como <a href="https://techhub.social/tags/statisticalmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalmodel</span></a> o <a href="https://techhub.social/tags/robot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>robot</span></a>. </p><p>Y el término <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> también transmite que su desempeño va a ser más injusto que si se dice que la tarea la va a realizar un <a href="https://techhub.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>algorithm</span></a> o <a href="https://techhub.social/tags/statisticalmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalmodel</span></a>.</p><p>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 <a href="https://techhub.social/tags/bikolabs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bikolabs</span></a> nos preguntamos si no habremos quemado ya el término <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> de tanto usarlo. </p><p>¿Opiniones?</p>