Focal Interest
Focal Interest

Bayesian probability

  1. Glitches can mildly bias EMRI inference in LISA
  2. VaR-constrained S-shaped utility problem has a critical wealth threshold
  3. Poster odds for strong gravitational-wave lensing are insensitive to event count
  4. Derivative-free Bayesian design method for sequential settings
  5. Network DLN shows cost-adjusted utility gains at large scale
    Computational models of cognitive stages show that network-stage architectures outperform linear stages through estimation efficiency and explicit exposure tracking, not just parameter reduction.
  6. Framework combines Bayesian learning and discrete-event modeling for remanufacturing
    Framework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.
  7. Task learning increased redundancy in macaque visual cortex responses
    Task learning increases information redundancy in macaque visual cortex while preserving individual neuron information, supporting Bayesian inference over efficiency-based models.
  8. Bayesian updating is characterized for a class of atomic probabilities
    Characterization of probability measures where Bayesian updating via conditional probability formula constitutes the unique updating mechanism under relational assumptions
  9. TV-SCVARMA outperforms classical VARMA in Nigeria
    Time-varying VARMA framework for macroeconomic forecasting in Nigeria addresses parameter instability from external shocks using state-space estimation with Kalman filtering.
  10. Fronts may host a distinct phytoplankton community
    Statistical framework combining finite mixtures, EM and hierarchical Bayesian inference reveals a distinct phytoplankton community comprising ~70% of observations within a Mediterranean oceanic front.