51 citations · 97 across the 27 of their papers we have counts for
4 papers · 1 filter
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Ning Ning, Edward L. Ionides
Parameter learning for high-dimensional, partially observed, and nonlinear stochastic processes is a methodological challenge. Spatiotemporal disease transmission systems provide e…
The mbsts package: Multivariate Bayesian Structural Time Series Models in R
Ning Ning, Jinwen Qiu
The multivariate Bayesian structural time series (MBSTS) model is a general machine learning model that deals with inference and prediction for multiple correlated time series, whe…
Systemic Infinitesimal Over-dispersion on Graphical Dynamic Models
Ning Ning, Edward L. Ionides
Stochastic models for collections of interacting populations have crucial roles in scientific fields such as epidemiology and ecology, yet the standard approach to extending an ord…
Spike and slab Bayesian sparse principal component analysis
Bo Y. -C. Ning, Ning Ning
Sparse principal component analysis (SPCA) is a popular tool for dimensionality reduction in high-dimensional data. However, there is still a lack of theoretically justified Bayesi…