Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Empirical evidence suggests this could be the beginning of a new price discovery phase, meaning the bull run has more legs. A closer look at Bitcoin's performance in the month of December in each ...

Bayesian-Torch is a library of neural network layers and utilities extending the ... model = torchvision.models.resnet18() dnn_to_bnn(model, const_bnn_prior_parameters) To use MOPED method i.e.

Methods: Data of lung cancer incidence and mortality from 2012 to 2023 were obtained from the Shandong Cancer Registries. The average annual percentage change (AAPC) was used to quantify the trend of ...

Professor Mohit Bansal, University of North Carolina at Chapel Hill (PC Chair) Professor Shafiq Joty, Salesforce Research and Nanyang Technological University (Author) Jiao Fangkai, Joint PhD student ...

AN empirical science is either one which, as the term implies, is supported by the evidence of the senses, or one which is built up out of the elements of experience. Physical science, beginning ...

We demonstrate that hierarchical Bayesian methods are well suited to these data by presenting a ‘standard’ partially ... experiments are rarely performed in isolation and so prior information can be ...

Constitutions are fundamental to the establishment and maintenance of democratic societies, serving multiple functions such as granting fundamental rights, declaring national identity, constituting ...