5 papers
A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
Sujeong Lee, Won Chang, Jorge Mateu +2
Analyzing crime events is crucial to understand crime dynamics and it is largely helpful for constructing prevention policies. Point processes specified on linear networks can prov…
A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
Jong Hyeon Lee, Jongmin Kim, Heesang Lee +1
A large class of spatial models contains intractable normalizing functions, such as spatial lattice models, interaction spatial point processes, and social network models. Bayesian…
Snell meets Fagnano. Path optimization through an imperfect mirror
Maxim Arnold, Jaewoo Park
The renowned Fagnano problem asks for the inscribed triangle of minimal perimeter within a given reference triangle. Equivalently, it seeks a billiard trajectory inside the triangl…
Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection
Euiseop Song, Jaeyoung Park, Jaewoo Park
Mitotic figure detection remains a challenging task in computational pathology due to domain variability and morphological complexity. This paper describes our participation in the…
A Stein Gradient Descent Approach for Doubly Intractable Distributions
Heesang Lee, Songhee Kim, Bokgyeong Kang +1
Bayesian inference for doubly intractable distributions is challenging because they include intractable terms, which are functions of parameters of interest. Although several alter…