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stat.ME2026
A Finite-Horizon Mixture Cure Model with Application to Online Flea Market Data
Yuji Komiyama, Yasumasa Matsuda, Masakazu Ishihara
This study proposes a mixture cure model that latently divides a population based on event occurrence within a finite time horizon. Conventional models rely on event occurrence ove…
stat.ME2026
Density-valued VAR Models with Latent Factors
Yasumasa Matsuda, Michel F. C. Haddad
We propose a density-valued vector autoregressive model with latent factors for multivariate time series of density functions. Motivated by weekly regional distributions of SARS-Co…