Framework for design and evaluation of Bandit algorithms with underlying Bayesian models
-
Updated
Feb 5, 2026 - Jupyter Notebook
#
sequential-design
Here are 5 public repositories matching this topic...
POSSA: Power simulation for sequential analyses and multiple hypotheses.
-
Updated
Aug 21, 2025 - HTML
A small collection of python-scripts associated with Gaussian process emulators in Bayesian inverse problems
monte-carlo bayesian-inference gaussian-processes gaussian-process-emulators sequential-design bayesian-inverse-problems gp-emulators
-
Updated
Jan 20, 2020 - Python
GPmp extensions
bayesian-optimization expected-improvement sequential-design computer-experiments probability-of-failure sequential-design-of-experiments probability-of-excursion bayesian-subset-simulation
-
Updated
Jul 12, 2026 - Python
EDI (Experimental Design and Inference): R & Python packages for fixed and sequential randomized experimental designs (blocking, optimal, matching-on-the-fly) with matched exact, asymptotic, and randomization inference for continuous, count, proportion, survival, and ordinal responses. C++ core.
python statistics cpp survival-analysis clinical-trials r-package causal-inference experimental-design sequential-design randomization-inference
-
Updated
Sep 1, 2026 - R
Add this topic to your repo
To associate your repository with the sequential-design topic, visit your repo's landing page and select "manage topics."