GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
IEEE

Bayesian Analysis of Bivariate Degradation Data Using Hybrid Wiener-Inverse Gaussian Marginal Processes and a Shared Frailty

Abstract: In engineering practice, it is common to observe simultaneous degradation of multiple performance characteristics in a system, in which these characteristics are correlated and exhibit ...
IEEE

Mechanism-Data Fusion for Centrifugal Compressor Aerodynamic Failure Diagnostics Based on Bayesian Extreme Learning Machine

Abstract: Centrifugal compressors (CCs) are critical equipment for compressing and transporting various gases in chemical production. As a type of vane compressor, their stable and reliable operation ...
Frontiers

Bayesian hierarchical species distribution modeling of blue catfish, an invasive species in tidal rivers of Virginia

2.2 Bayesian delta models for species distribution analysis Because of the high proportions of zero catches in the high-frequency electrofishing survey (50.4% in the James River, 23.3% in the York ...