Ritabrata 'Rito' Dutta
ritothebayesian.bsky.social
Ritabrata 'Rito' Dutta
@ritothebayesian.bsky.social
Associate professor of statistics in the University of Warwick. Excited about everything Bayesian, related to Prediction, and smells of Computation!
Reposted by Ritabrata 'Rito' Dutta
Want ⚡-fast and efficient density estimation with Bayesian properties? Quasi-Bayesian Vines are the tool you need!

We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.

tinyurl.com/53vmafc8
December 13, 2024 at 5:27 AM
Reposted by Ritabrata 'Rito' Dutta
The authors write: "If your pseudo-marginal MCMC (e.g. ABC) is stuck trying to reach to an approximate posterior, use adjusted SGLD (hugely efficient) with scoring rule posterior (guaranteed to contract to correct parameters)!"
November 29, 2024 at 12:00 PM
Reposted by Ritabrata 'Rito' Dutta
New paper "Generalized Bayesian Likelihood-free inference" in EJS by Pacchiardi, Khoo and Dutta. projecteuclid.org/jo...
November 29, 2024 at 12:00 PM
Reposted by Ritabrata 'Rito' Dutta
Applications are now open for the Warwick Centre for Doctoral Training in Statistics. Follow the links below to apply, or to register for our open day on Wednesday.
warwick.ac.uk/fac/sc... warwick.ac.uk/fac/sc...
October 28, 2024 at 9:37 AM
Reposted by Ritabrata 'Rito' Dutta
Anastasia Mantziou has joined us as Harrison Assistant Professor. Her research interests lie in statistical analysis of networks. She specialises in statistical modelling of network populations, with applications in neuroscience, ecology, economics and cyber-security.
November 4, 2024 at 12:00 PM
Reposted by Ritabrata 'Rito' Dutta
Join us! We are currently advertising two faculty positions: Assistant Professor (Computational, Methodological or Theoretical Statistics or Machine Learning) and Assistant Professor (Mathematical Finance). www.warwick.ac.uk/st... Deadline: Jan 6th
November 21, 2024 at 12:00 PM
Reposted by Ritabrata 'Rito' Dutta
Welcome to the Department Kirsty Hassall! Kirsty’s research is in statistical applications in the agri-environment sector focussing on how to robustly construct hybrid models that combine empirical, mechanistic, stochastic and decision elements.
November 22, 2024 at 12:00 PM
Breaking the glass ceiling of high dimensions with few training samples, when copulas meet vines.
🤔Question: How do you scale recursive prediction to high dimensions?
💡Answer: with copulas!

Check out our "Quasi-Bayes meets Vines" paper, accepted at #neurips2024, and come say hi at the poster session in Vancouver!

🎥(5 min video) tinyurl.com/ycpu23cw
📄(Paper) tinyurl.com/2s4f96tm
Quasi Bayes meets vines
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
tinyurl.com
November 22, 2024 at 10:42 AM
Reposted by Ritabrata 'Rito' Dutta
Hello, world! We are a community-developed toolkit that performs Bayesian inference for simulators. We support a broad range of methods (NPE, NLE, NRE, amortized and sequential), neural network architectures (flows, diffusion models), samplers, and diagnostics. Join us!
November 18, 2024 at 7:26 AM
Reposted by Ritabrata 'Rito' Dutta
The next UCL centre for Data Science/UCL ELLIS unit event will be on "Computational Statistics and Machine Learning in the Sciences" will take place in-person on the 5th December at the London Mathematical Society.

Full details, incl registration: www.ucl.ac.uk/big-data
November 18, 2024 at 9:28 AM