How Bayesian testing lets Google measure incrementality with $5,000

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
IEEE

A Novel Adaptive Bayesian Model Averaging-Based Multiple Kriging Method for Structural Reliability Analysis

Abstract: Reliability analysis for structural systems relies on an accurate surrogate model. Currently, several multiple Kriging methods are utilized to calculate the failure probability. However, ...
GitHub

bayesian-model-averaging

Add a description, image, and links to the bayesian-model-averaging topic page so that developers can more easily learn about it.
IEEE

Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging

Abstract: Predicting condition monitoring signals has become a critical task for health status assessment and monitoring of industrial systems. It is crucial to incorporate correlated historical data ...
Scientific Research Publishing

Huang, X., Huang, G., Yu, C., Ni, S., & Yu, L. (2017). A Multiple Crop Model Ensemble for Improving Broad-Scale Yield Prediction Using Bayesian Model Averaging. Field Crops ...

ABSTRACT: Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify ...
Business Insider

'Rich Dad Poor Dad' author echoes Warren Buffett's signature warning against trying to time the market

Warren Buffett advises against trying to time the market, and recommends holding for the long term. Robert Kiyosaki just recommended a dollar-cost averaging approach aligned with Buffett's strategy.
INSPIRE

Improved information criteria for Bayesian model averaging in lattice field theory

Bayesian model averaging is a practical method for dealing with uncertainty due to model specification. Use of this technique requires the estimation of model probability weights. In this work, we ...