Aki Vehtari

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Articles

Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis

Apr 3, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

There is a new paper in arXiv: “Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis” by Anna Elisabeth Riha, Nikolas Siccha, Antti Oulasvirta, and Aki Vehtari. Anna writesAn essential component of Bayesian workflows is the iteration within and across models with the goal of validating and improving the models.
Active statistics stories games problems and hands demonstrations applied regression and causal inference

Mar 14, 2024 | cambridge.org | Andrew Gelman |Aki Vehtari

Your Cart×You have no items in your cart. Subtotal: × Look Inside $24.99 (C) Authors:Andrew Gelman, Columbia University, New YorkAki Vehtari, Aalto University, FinlandDate Published: March 2024availability: Available format: Paperbackisbn: 9781009436212 $24.99 (C)Paperback Other available formats:eBook If you are interested in the title for your course we can consider offering an examination copy.
Statistical Modeling, Causal Inference, and Social Science

Mar 13, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

There is a new government funded Finnish Doctoral Program in AI. Research topics include Bayesian inference, modeling and workflows as part of fundamental AI. There is a big joint call, where you can choose the supervisor you want to work with. I (Aki) am also one of the supervisors. Come work with me or share the news! The first call deadline is April 2, and the second call deadline in fall 2024. See how to apply at https://fcai.fi/doctoral-program, and more about my research at my web page.
Statistical Modeling, Causal Inference, and Social Science

Feb 8, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

Osvaldo Martin writes:The third edition of Bayesian Analysis with Python serves as an introduction to the basic concepts of applied Bayesian modeling. It adopts a hands-on approach, guiding you through the process of building, exploring and expanding models using PyMC and ArviZ. The field of probabilistic programming is in a different place today than it was when the first edition was devised in the middle of the last decade.
Statistical Modeling, Causal Inference, and Social Science

Jan 18, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

Andrew, I, and Jessica (and I hope we get more) listed papers for progress in 2023, but many papers would be much less useful without software, so I list also software I’m contributing to with the most interesting improvements added in 2023 (in addition there is always huge amount of work that improves the software somehow, but is not that visible) Stan (including Stan math + Stan core + Stanc + CmdStan) Laplace approximation (see a case study) Tuples and tuple versions of functions...
Statistical Modeling, Causal Inference, and Social Science

Jan 15, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

Following Andrew, here is my (Aki’s) list of published papers and preprints in 2023 (20% together with Andrew)PublishedManushi Welandawe, Michael Riis Andersen, Aki Vehtari, and Jonathan H. Huggins (2023). Robust, Automated, and Accurate Black-box Variational Inference. Journal of Machine Learning Research, accepted for publication. arXiv preprint arXiv:2203.15945. Alex Cooper, Dan Simpson, Lauren Kennedy, Catherine Forbes, and Aki Vehtari (2023).
Statistical Modeling, Causal Inference, and Social Science

Jan 12, 2024 | statmodeling.stat.columbia.edu | Aki Vehtari

Mine Dogucu writes:We are recruiting our new cohort of STEM instructors who are interested in incorporating Bayesian thinking and methods in their teaching in US universities and colleges. Please help us spread the word. stat.uci.edu/bayes-bats/Our goal is to advance Bayesian Thinking in STEM, hence the name BATS.
Statistical Modeling, Causal Inference, and Social Science

Dec 19, 2023 | statmodeling.stat.columbia.edu | Aki Vehtari

Several job opportunities in beautiful Finland!Fully funded postdoc and doctoral student positions in various topics including Bayesian modeling, inference, and workflow, Gaussian processes, Bayesian neural networks, prior elicitation, probabilistic programming, Stan, etc. at Finnish Center for Artificial Intelligence, Aalto University, and University of Helsinki. I’m also one of the potential supervisors.
Statistical Modeling, Causal Inference, and Social Science

Sep 15, 2023 | statmodeling.stat.columbia.edu | Aki Vehtari

Some weeks ago, I posted in Mastodon (you can follow me there) a thread about “How big problem it is that cross-validation is biased?”. I have also added that text to . Today I extended that thread as we have a new paper out on estimating and correcting selection induced bias in cross-validation model selection.
PhD student, PostDoc, and Research software engineering positions

Sep 5, 2023 | statmodeling.stat.columbia.edu | Aki Vehtari

Several job opportunities in beautiful Finland! Fully funded postdoc and doctoral student positions in various topics including Bayesian modeling, probabilistic programming and workflows with me and other professors in Aalto University and University of Helsinki, funded by Finnish Center for Artificial Intelligence See more topics, how to apply, and job details like salary at fcai.fi/we-are-hiring You can also ask me for further details Permanent full time research software engineer position...