Home Statistics and Visualization Statistical Modeling, Causal Inference, and Social Science “Is machine learning a subset of statistics?”

“Is machine learning a subset of statistics?”

Statistical Modeling, Causal Inference, and Social Science 2013-03-15

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Using output from a fitted machine learning algorithm as a predictor in a statistical model

http://andrewgelman.com/2017/11/24/using-output-fitted-machine-learning-algorithm-predictor-statistical-model/

Statistical Modeling, Causal Inference, and Social Science 11/24/2017
Tenure Track Professor in Machine Learning, Aalto University, Finland

http://andrewgelman.com/2016/10/14/31423/

Statistical Modeling, Causal Inference, and Social Science 10/14/2016

bayesian statistics
Laplace’s Demon: A Seminar Series about Bayesian Machine Learning at Scale

https://statmodeling.stat.columbia.edu/2020/05/07/laplaces-demon-a-seminar-series-about-bayesian-machine-learning-at-scale/

Statistical Modeling, Causal Inference, and Social Science 05/07/2020

bayesian
We have really everything in common with machine learning nowadays, except, of course, language.

https://statmodeling.stat.columbia.edu/2022/05/13/we-have-really-everything-in-common-with-machine-learning-nowadays-except-of-course-language/

Statistical Modeling, Causal Inference, and Social Science 05/13/2022

computing
“Why don’t machine learning and large language model evaluations report uncertainty?”

https://statmodeling.stat.columbia.edu/2025/02/22/why-dont-machine-learning-and-large-language-model-evaluations-report-uncertainty/

Statistical Modeling, Causal Inference, and Social Science 02/22/2025

computing
“Laplace’s Demon: A Seminar Series about Bayesian Machine Learning at Scale” and my answers to their questions

https://statmodeling.stat.columbia.edu/2020/06/18/laplaces-demon-a-seminar-series-about-bayesian-machine-learning-at-scale-and-my-answers-to-their-questions/

Statistical Modeling, Causal Inference, and Social Science 06/18/2020

bayesian
Workshop for Women in Machine Learning

http://andrewgelman.com/2013/08/21/workshop-for-women-in-machine-learning/

Statistical Modeling, Causal Inference, and Social Science 08/21/2013

sociology statistical computing miscellaneous statistics
Tenure-Track or Tenured Prof. in Machine Learning in Aalto, Finland

http://andrewgelman.com/2017/10/09/tenure-track-tenured-prof-machine-learning-aalto-finland/

Statistical Modeling, Causal Inference, and Social Science 10/09/2017
Postdoc opportunity at AstraZeneca in Cambridge, England, in Bayesian Machine Learning using Stan!

http://andrewgelman.com/2018/04/19/postdoc-opportunity-astrazeneca-cambridge-england-bayesian-machine-learning-using-stan/

Statistical Modeling, Causal Inference, and Social Science 04/19/2018
An AI can build and try out statistical models using an open-ended generative grammar

http://andrewgelman.com/2013/02/26/an-ai-that-builds-a-statistical-model/

Statistical Modeling, Causal Inference, and Social Science 02/26/2013

statistical computing bayesian statistics
Defining statistical models in JAX?

https://statmodeling.stat.columbia.edu/2024/10/08/defining-statistical-models-in-jax/

Statistical Modeling, Causal Inference, and Social Science 10/08/2024

bayesian
Workshop on Interpretable Machine Learning

http://andrewgelman.com/2017/10/11/workshop-interpretable-machine-learning-dec/

Statistical Modeling, Causal Inference, and Social Science 10/11/2017
Learning from mistakes (my online talk for the American Statistical Association, 2:30pm Tues 30 Jan 2024)

https://statmodeling.stat.columbia.edu/2024/01/23/learning-from-mistakes-my-online-talk-for-the-american-statistical-association-230pm-tues-30-jan-2024/

Statistical Modeling, Causal Inference, and Social Science 01/23/2024

analysis
Webinar: Design of Statistical Modeling Software

https://statmodeling.stat.columbia.edu/2022/05/23/webinar-design-of-statistical-modeling-software/

Statistical Modeling, Causal Inference, and Social Science 05/23/2022

bayesian
Probabilistic numerics and the folk theorem of statistical computing

https://statmodeling.stat.columbia.edu/2024/11/04/probabilistic-numerics-and-the-folk-theorem-of-statistical-computing/

Statistical Modeling, Causal Inference, and Social Science 11/04/2024

bayesian
Deep learning workflow

https://statmodeling.stat.columbia.edu/2020/02/25/deep-learning-workflow/

Statistical Modeling, Causal Inference, and Social Science 02/25/2020

bayesian
Can statistical software do better at giving warnings when you apply a method when maybe you shouldn’t?

https://statmodeling.stat.columbia.edu/2021/07/13/can-statistical-software-do-better-at-giving-warnings-when-you-apply-a-method-when-maybe-you-shouldnt/

Statistical Modeling, Causal Inference, and Social Science 07/13/2021

computing
Workshop on reproducibility in machine learning

http://andrewgelman.com/2017/06/07/workshop-reproducibility-machine-learning/

Statistical Modeling, Causal Inference, and Social Science 06/07/2017
Details of implementation of machine learning algorithms

https://statmodeling.stat.columbia.edu/2022/07/25/details-of-implementation-of-machine-learning-algorithms/

Statistical Modeling, Causal Inference, and Social Science 07/25/2022

computing
Deep learning, model checking, AI, the no-homunculus principle, and the unitary nature of consciousness

http://andrewgelman.com/2016/11/21/deep-learning-model-checking-ai-no-homunculus-principle-unitary-nature-consciousness/

Statistical Modeling, Causal Inference, and Social Science 11/21/2016

bayesian statistics
Frictionless reproducibility; methods as proto-algorithms; division of labor as a characteristic of statistical methods; statistics as the science of defaults; statisticians well prepared to think about issues raised by AI; and robustness to adversarial attacks

https://statmodeling.stat.columbia.edu/2023/10/13/frictionless-reproducibility-methods-as-proto-algorithms-division-of-labor-as-a-characteristic-of-statistical-methods-statistics-as-the-science-of-defaults-statisticians-well-prepared-to-think-abo/

Statistical Modeling, Causal Inference, and Social Science 10/13/2023

computing
Computational and statistical issues with uniform interval priors

http://andrewgelman.com/2017/11/28/computational-statistical-issues-uniform-interval-priors/

Statistical Modeling, Causal Inference, and Social Science 11/28/2017
Forking paths and workflow in statistical practice and communication

https://statmodeling.stat.columbia.edu/2024/06/24/forking-paths-and-workflow-in-statistical-practice-and-communication/

Statistical Modeling, Causal Inference, and Social Science 06/24/2024

bayesian
What should Yuling include in his course on statistical computing?

https://statmodeling.stat.columbia.edu/2024/11/17/what-should-yuling-include-in-his-course-on-statistical-computing/

Statistical Modeling, Causal Inference, and Social Science 11/17/2024

analysis
Excellent performance of machine learning algorithms in a major time series competition. And then what is the role of statistical modeling? Here’s the answer:

https://statmodeling.stat.columbia.edu/2022/02/02/excellent-performance-of-machine-learning-algorithms-in-a-major-time-series-and-then-what-is-the-role-of-statistical-modeling-heres-the-answer/

Statistical Modeling, Causal Inference, and Social Science 02/02/2022

uncategorized statistics miscellaneous