Tag: Bayesian inference

A new mock-ensemble analysis shows that single-probe cosmological datasets generated from a perfect cosmological-constant universe can still produce posterior shifts ...

A new tutorial in Behavior Research Methods shows psychologists how Bayesian beta regression can fix the widespread misuse of normal-based ...

A new theoretical study proves that standard Gaussian process hyperparameter estimation has an unbounded influence function, meaning a single outlier ...

A new robust Bayesian framework separates latent tail-risk ranking from false-discovery-controlled screening in overdispersed count data, with applications to high-utilization ...

Researchers have combined machine learning and Bayesian inference to reconstruct incomplete records and derive more physically consistent seismic fragility curves ...

A new Bayesian spatial mixed model called SpaMixed detects air pollution effects on the microbiome by accounting for geographic and ...

A new Bayesian framework called MANTRA jointly analyzes three-dimensional drug-response data and two-dimensional gene expression matrices, revealing clinically relevant leukemia ...

Researchers have combined Bayesian physics-informed neural networks with Stein variational gradient descent to deliver fast, probabilistic forecasts of contaminant transport ...

New research shows that weakened attention sharpens repulsive serial dependence in visual working memory while inducer noise leaves downstream biases ...

Researchers have built a Bayesian agent-based model that identifies the U.S. counties at highest risk of mass shootings, with firearm ...