Neural networks unlock larger quantum simulations with lower computational costs

In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network ...
CU Boulder News & Events

DTSA 5727 Computational Bayesian Statistics in Data Science

This course equips learners with the theoretical knowledge and computational skills needed to implement modern Bayesian statistical methods in real-world settings. By completing the course, learners ...
Nature

Approximate Bayesian Computation Techniques in Statistical Inference

Approximate Bayesian computation (ABC) constitutes a family of likelihood-free methods that have emerged as a cornerstone in statistical inference for complex models where evaluation of the likelihood ...
Helsinki

Chengkun Li defends his PhD thesis on Surrogate-based methods for efficient Bayesian posterior computation

On Wednesday the 1st of April 2026, M.Eng. Chengkun Li defends his PhD thesis on Surrogate-based methods for efficient Bayesian posterior computation. The thesis is related to research done in the ...
Frontiers

Bayesian Models: Revolutionizing Dairy Genetics and Breeding Strategies

Revolutionizing Dairy Genetics and Breeding StrategiesDairy cattle breeding programs are increasingly confronting a category of traits that ...
CU Boulder News & Events

DTSA 5727: Computational Bayesian Statistics for Data Science Applications

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...