6 papers
Bayesian Inference for Partially Observed McKean-Vlasov SDEs with Full Distribution Dependence
Ning Ning, Amin Wu
McKean-Vlasov stochastic differential equations (MVSDEs) describe systems whose dynamics depend on both individual states and the population distribution, and they arise widely in…
Stationary Point Constrained Inference via Diffeomorphisms
Michael Price, Debdeep Pati, Ning Ning
Stationary points or derivative zero crossings of a regression function correspond to points where a trend reverses, making their estimation scientifically important. Existing appr…
Robust Iterative Learning Hidden Quantum Markov Models
Ning Ning
Hidden Quantum Markov Models (HQMMs) extend classical Hidden Markov Models to the quantum domain, offering a powerful probabilistic framework for modeling sequential data with quan…
Hysteretic Multivariate Bayesian Structural GARCH Model with Soft Information
Tzu-Hsin Chien, Ning Ning, Shih-Feng Huang
This study introduces the SH-MBS-GARCH model, a hysteretic multivariate Bayesian structural GARCH framework that integrates hard and soft information to capture the joint dynamics…
MASLA: Metropolis-Adjusted Subdifferential Langevin Sampling for Nonsmooth Nonconvex Potentials
Ning Ning
Sampling from distributions with nonsmooth nonconvex potentials challenges gradient-based Langevin methods and can complicate proximal approaches. We introduce Metropolis-adjusted…
Optimizing Global Genomic Surveillance for Early Detection of Emerging SARS-CoV-2 Variants
Haogao Gu, Jifan Li, Wanying Sun +9
Background: Global viral threats underscore the need for effective genomic surveillance, but high costs and uneven resource distribution hamper its implementation. Targeting survei…