Conformal Inference with Tidymodels - posit::conf(2023)

Presented by Max Kuhn Conformal inference theory enables any model to produce probabilistic predictions, such as prediction intervals. We'll demonstrate how these analytical methods can be used with tidymodels. Simulations will show that the results have good coverage (i.e., a 90% interval should include the real point 90% of the time). Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Tidy up your models. Session Code: TALK-1085

We Converted our Documentation to Quarto - posit::conf(2023)
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We Converted our Documentation to Quarto - posit::conf(2023)

A Tutorial on Conformal Prediction
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A Tutorial on Conformal Prediction

tidymodels: Adventures in Rewriting a Modeling Pipeline - posit::conf(2023)
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tidymodels: Adventures in Rewriting a Modeling Pipeline - posit::conf(2023)

Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)
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Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)

Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression
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Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression

Inge van den Ende-Leveraging conformal prediction for calibrated probabilistic time series forecasts
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Inge van den Ende-Leveraging conformal prediction for calibrated probabilistic time series forecasts

duckplyr: Tight Integration of duckdb with R and the tidyverse - posit::conf(2023)
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duckplyr: Tight Integration of duckdb with R and the tidyverse - posit::conf(2023)

But what is the Fourier Transform?  A visual introduction.
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But what is the Fourier Transform? A visual introduction.

Ahmed Alaa | Applications of Conformal Prediction in Medicine | CGSI 2024
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Ahmed Alaa | Applications of Conformal Prediction in Medicine | CGSI 2024

Why R? 2019 | Marvin N. Wright: Random forests - the first-choice method for every data analysis?
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Why R? 2019 | Marvin N. Wright: Random forests - the first-choice method for every data analysis?

The Beginning of The Universe - Sir Roger Penrose on His Conformal Cyclic Cosmology Model
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The Beginning of The Universe - Sir Roger Penrose on His Conformal Cyclic Cosmology Model

How great is the threat of war in Europe? Sönke Neitzel in an in-depth interview | DER SPIEGEL
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How great is the threat of war in Europe? Sönke Neitzel in an in-depth interview | DER SPIEGEL

CLIMB Evergreen talk with Emmanuel Candès: Conformal Inference when Data is not Exchangeable
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CLIMB Evergreen talk with Emmanuel Candès: Conformal Inference when Data is not Exchangeable

What is a Vector Database? Powering Semantic Search & AI Applications
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What is a Vector Database? Powering Semantic Search & AI Applications

Emmanuel Candès - A Taste of Conformal Prediction
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Emmanuel Candès - A Taste of Conformal Prediction

Stephen Bates - Seminar - "Distribution-Free, Risk-Controlling Prediction Sets"
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Stephen Bates - Seminar - "Distribution-Free, Risk-Controlling Prediction Sets"

Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting
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Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting

Charla Plenaria: Max Kuhn
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Charla Plenaria: Max Kuhn

Rising Stars #10 - Special Series on Conformal Prediction: Isaac Gibbs (Stanford University)
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Rising Stars #10 - Special Series on Conformal Prediction: Isaac Gibbs (Stanford University)

Predicting Lending Rates with Databricks, tidymodels, and Posit Team
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Predicting Lending Rates with Databricks, tidymodels, and Posit Team