Showing stat.MEShow all
3 papers · 1 filter
stat.ME2025
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…
stat.ME2025
Metropolis-adjusted Subdifferential Langevin Algorithm
Ning Ning
The Metropolis-Adjusted Langevin Algorithm (MALA) is a widely used Markov Chain Monte Carlo (MCMC) method for sampling from high-dimensional distributions. However, MALA relies on…
stat.ME2024
VT-MRF-SPF: Variable Target Markov Random Field Scalable Particle Filter
Ning Ning
Markov random fields (MRFs) are invaluable tools across diverse fields, and spatiotemporal MRFs (STMRFs) amplify their effectiveness by integrating spatial and temporal dimensions.…