Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
JSTOR Daily

Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility

This article estimates models of high-frequency index futures returns using "around-the-clock" 5-min returns that incorporate the following key features: multiple persistent stochastic volatility ...
JSTOR Daily

Present Position and Potential Developments: Some Personal Views: Bayesian Statistics

Journal of the Royal Statistical Society. Series A (General), Vol. 147, No. 2, The 150th Anniversary of the Royal Statistical Society (1984), pp. 245-259 (15 pages) Basic ideas and methods of Bayesian ...
CU Boulder News & Events

Bayesian Hierarchical Network Model for Forecasting Daily River Stage in a River Network

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...
The Financial Times

Bayesian analysis, Bernoulli trials and (probable) birthdays

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. From Mr Gerry Clarke. Sir, I beg to differ with Professor Wilfred Beckerman (Letters, October 8). The model he ...
lse

Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Health Data Science, MSc in Quantitative Methods for ...