The standard Kalman filter cannot handle inequality constraints imposed on the state variables, as state truncation induces a nonlinear and non-Gaussian model. We propose a Rao-Blackwellized particle ...

Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer ...

Recently, we talked to Dan Fu and Tri Dao – authors of “Hungry Hungry Hippos” (aka “H3”) – on our Deep Papers podcast. H3 is a proposed language modeling architecture that performs comparably to ...

Bayesian methods for dynamic models in marketing have so far been parametric. For instance, it is invariably assumed that model errors emerge from normal distributions. Yet using arbitrary ...