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stat.CO2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner +3
The generality and robustness of inference algorithms is critical to the success of widely used probabilistic programming languages such as Stan, PyMC, Pyro, and Turing.jl. When de…
stat.ME2024
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
Soumyakanti Pan, Lu Zhang, Jonathan R. Bradley +1
Analysing non-Gaussian spatial-temporal data requires introducing spatial as well as temporal dependence in generalised linear models through the link function of an exponential fa…