The three-day international conference at Banaras Hindu University brought together leading experts in Bayesian statistics to ...

It is thus an indispensable reference for researchers who are interested in applying Bayesian techniques in their own biological research.' Ping Ma, University of Illinois, Urbana-Champaign '… an ...

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 ...

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 ...

Stopping criteria for iterative algorithms are discussed next, focusing on the Bayesian information criterion (BIC). Sparse Bayesian learning framework is contextualized. Finally, a practical sparse ...

While some techniques have been proposed, most existing FAS channel estimators require several channel assumptions, such as slow variation and angular-domain sparsity. When these assumptions are not ...

Physical exercise is widely recognized as a vital factor for enhancing cognitive function. Long-term exercise programs have ...