GlobalSpec

Chapter 7: Bayesian Forecasting of Options Prices A Natural Framework for Pooling Historical and Implied Volatility Information

Bayesian statistical methods are naturally oriented towards pooling, in a rigorous way, information coming from separate sources. It has been suggested that both historical and implied volatilities ...

ExaRing+: Bayesian Part 2—When Small Evidence Changes Judgments

Probabilities that created rebels, hidden signatures, unrecorded drivers, inbox gatekeepers, and those who predict the ...
ilo.org

Forecasting Labour Market Outcomes Using Bayesian Hierarchical Panel VARs

This webinar explores how advanced Bayesian forecasting models can improve predictions of labour market trends and support more informed policy decisions. Bayesian methods are being increasingly used ...
JSTOR Daily

Vol. 26, No. 4, October 2016, Bayesian Inference, Environment Statistics, Time Series Analysis, and Their Applications

BAYESIAN FORECASTING OF DEMOGRAPHIC RATES FOR SMALL AREAS: EMIGRATION RATES BY AGE, SEX, AND REGION IN NEW ZEALAND, 2014-2038 BAYESIAN FORECASTING OF DEMOGRAPHIC RATES FOR SMALL AREAS: EMIGRATION ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Researchers have proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach ...