3 papers
stat.ML2025
Surrogate Graph Partitioning for Spatial Prediction
Yuta Shikuri, Hironori Fujisawa
Spatial prediction refers to the estimation of unobserved values from spatially distributed observations. Although recent advances have improved the capacity to model diverse obser…
stat.ML2025
Learning Survival Models with Right-Censored Reporting Delays
Yuta Shikuri, Hironori Fujisawa
Survival analysis provides statistical methods to model the time until an event occurs. Reporting delays arise when event times are not observed at their occurrence but are only re…
stat.ML2024
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
Gaussian process regression is a powerful Bayesian nonlinear regression method. Recent research has enabled the capture of many types of observations using non-Gaussian likelihoods…