2 on Diana Cai https://dicai.github.io/publication_types/2/ Recent content in 2 on Diana Cai Hugo -- gohugo.io en-us Wed, 01 Apr 2026 00:00:00 +0000 Reconstruction of δ$^{13}$ $C_{{DIC}}$ in the Atlantic Ocean: a probabilistic machine learning approach for filling historical data gaps https://dicai.github.io/publication/journal-article/2025-delta-cdic/ Wed, 01 Apr 2026 00:00:00 +0000 https://dicai.github.io/publication/journal-article/2025-delta-cdic/ Kernel density Bayesian inverse reinforcement learning https://dicai.github.io/publication/conference-paper/2022-bayesian-irl-kernel-density/ Tue, 01 Oct 2024 00:00:00 +0000 https://dicai.github.io/publication/conference-paper/2022-bayesian-irl-kernel-density/ A preliminary version appeared in the Symposium on Advances in Approximate Bayesian Inference, 2022. Probabilistic prediction of material stability: integrating convex hulls into Bayesian active learning https://dicai.github.io/publication/journal-article/2024-convex-hull-active-search/ Mon, 05 Aug 2024 00:00:00 +0000 https://dicai.github.io/publication/journal-article/2024-convex-hull-active-search/ Optimizing the design of spatial genomics studies https://dicai.github.io/publication/journal-article/2024-spatial-genomics-experimental-design/ Sat, 01 Jun 2024 00:00:00 +0000 https://dicai.github.io/publication/journal-article/2024-spatial-genomics-experimental-design/ Exchangeable trait allocations https://dicai.github.io/publication/journal-article/2018-traitexch/ Sat, 01 Dec 2018 00:00:00 +0000 https://dicai.github.io/publication/journal-article/2018-traitexch/ Trait allocations are a class of combinatorial structures in which data may belong to multiple groups and may have different levels of belonging in each group. Often the data are also exchangeable, i.e., their joint distribution is invariant to reordering. In clustering—a special case of trait allocation—exchangeability … Priors on exchangeable directed graphs https://dicai.github.io/publication/journal-article/2016-digraphons/ Sat, 01 Oct 2016 00:00:00 +0000 https://dicai.github.io/publication/journal-article/2016-digraphons/ Directed graphs occur throughout statistical modeling of networks, and exchangeability is a natural assumption when the ordering of vertices does not matter. There is a deep structural theory for exchangeable undirected graphs, which extends to the directed case via measurable objects known as digraphons …