<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent &amp; Upcoming Talks on MALF</title><link>https://maluque.netlify.app/talk/</link><description>Recent content in Recent &amp; Upcoming Talks on MALF</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy; 2025-2026 Miguel Angel Luque-Fernandez</copyright><lastBuildDate>Thu, 15 May 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://maluque.netlify.app/talk/index.xml" rel="self" type="application/rss+xml"/><item><title>Conformal Statistical Inference: A Tutorial for Biostatistics and Machine Learning Applications</title><link>https://maluque.netlify.app/talk/conformal-tutorial/</link><pubDate>Thu, 15 May 2025 00:00:00 +0000</pubDate><guid>https://maluque.netlify.app/talk/conformal-tutorial/</guid><description>This tutorial introduces Conformal Statistical Inference — a distribution-free framework for constructing prediction sets with valid finite-sample coverage guarantees. It covers:
Foundations: exchangeability, nonconformity scores, coverage probability guarantees Split Conformal Prediction (SCP): computationally efficient, data-splitting approach Conformal Quantile Regression (CQR): adaptive intervals handling heteroscedasticity Full Conformal Prediction: exhaustive leave-one-out calibration Jackknife+: conservative leave-one-out conformal with improved properties Resources 🎓 Tutorial Slides (Spanish): Quarto RevealJS slides 📘 Comprehensive Guide (English): Interactive notebook 💻 Reproducible code available on GitHub</description></item><item><title>Clinical Epidemiology in the Era of the Big Data Revolution: New Opportunities.</title><link>https://maluque.netlify.app/talk/example-talk/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://maluque.netlify.app/talk/example-talk/</guid><description/></item><item><title>Ensemble Learning Targeted Maximum Likelihood Estimation, at London.</title><link>https://maluque.netlify.app/talk/example-talk2/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://maluque.netlify.app/talk/example-talk2/</guid><description>Embed your slides or video here using shortcodes. Further details can easily be added using Markdown and $\rm \LaTeX$ math code.</description></item><item><title>Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application .</title><link>https://maluque.netlify.app/talk/example-talk3/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://maluque.netlify.app/talk/example-talk3/</guid><description>Embed your slides or video here using shortcodes. Further details can easily be added using Markdown and $\rm \LaTeX$ math code.</description></item><item><title>The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial.</title><link>https://maluque.netlify.app/talk/example-talk4/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://maluque.netlify.app/talk/example-talk4/</guid><description>Embed your slides or video here using shortcodes. Further details can easily be added using Markdown and $\rm \LaTeX$ math code.</description></item></channel></rss>