Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...

Abstract: This paper proposes a variational Bayesian inference (VBI) based algorithm for gridless and online estimation of multiple two-dimensional directions of arrival (2D-DOAs), whose number and ...

This is a minimal repository implementing NPE-PFN, a method for simulation-based inference using tabular foundation models, together with its sequential variant TSNPE-PFN. See the associated preprint.

The final, formatted version of the article will be published soon. Guessing behavior has been an enduring problem that undermines the validity and interpretability of scores from MC items. The ...

Trial-to-trial variability can result from both deterministic sources, such as complex dynamics or internal states, and randomness — that is, noise. This Review focuses on noise and its impact along ...

The “4% rule” isn’t one rule — fixed percentage, fixed dollar, and inflation-adjusted withdrawals behave very differently in ...

Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...