Nonresponse weighting adjustment using the response propensity score is a popular tool for handling unit nonresponse. Statistical inference after the nonresponse weighting adjustment is an important ...
The demographic history of most species is complex, with multiple evolutionary processes combining to shape the observed patterns of genetic diversity. To infer this history, the discipline of ...
Approximate Bayesian Computation (ABC) is a likelihoodâfree inference methodology that has revolutionised the way researchers tackle complex problems where the likelihood function is difficult or ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
The Helsinki Probabilistic Machine Learning Lab encompasses seven at the Department of Computer Science of the University of Helsinki, all specializing in probabilistic machine learning methods and ...
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