3 papers
stat.ML2026
Structured Learning on Mapper Representations
George Babus, Farzana Nasrin
Modern machine learning (ML) methods are highly effective for prediction tasks, but many commonly used representations reduce complex data to fixed dimensional embeddings that may…
stat.ML2026
Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning
Farzana Nasrin
Persistence diagrams (PDs) provide stable and interpretable summaries of multiscale topological structure. While substantial progress has been made in the statistical analysis of P…
stat.ME2025
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
Fahad Mostafa, Md Rejuan Haque, Md Mostafijur Rahman +1
Parameter estimation is a foundational step in statistical modeling, enabling us to extract knowledge from data and apply it effectively. Bayesian estimation of parameters incorpor…