IEEE

Variational Bayesian Semi-supervised Keyword Extraction

Abstract: The expansion of textual data, stemming from various sources such as online product reviews and scholarly publications on scientific discoveries, has created a significant demand for the ...
IEEE

Variational Bayesian Channel Estimation for mmWave Massive MIMO-OFDM Systems

Abstract: This letter proposes a novel channel estimation algorithm for mmWave massive MIMO-OFDM systems, named linear model based variational line spectral estimation algorithm (LMVALSE). This ...
Investing

FDA openness to Bayesian methods noted by BioStem Technologies

POMPANO BEACH, Fla. - BioStem Technologies, Inc. (OTC:BSEM), a microcap company with a market capitalization of $90.22 million, highlighted recent statements from FDA leadership indicating greater ...
Morningstar

Professor Sarfaraz Niazi's Scientific Framework Adopted as FDA Modernizes Clinical Trial Evaluation Through Bayesian Methods

WASHINGTON, Jan. 20, 2026 /PRNewswire/ -- The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in clinical trials, formally recognizing ...
Investopedia

How to Use Bayesian Methods for Accurate Financial Forecasting

Daniel McNulty began writing for Investopedia in 2012. His work includes articles on financial analysis, asset allocation, and trading strategies. Marguerita is a Certified Financial Planner (CFP), ...
GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

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 ...