3 papers
stat.ME2026
Testing Microbiome Community Differences in High Dimensions: A Bootstrap Approach for Compositional Data
Monika Bhattacharjee, Nilanjan Chakraborty, Sayan Das +6
Understanding differences in microbial community structure is critical for uncovering risk factors and mechanisms underlying diseases such as colorectal cancer and preterm birth. M…
stat.ME2025
Assumption-lean Inference for Network-linked Data
Wei Li, Nilanjan Chakraborty, Robert Lunde
We consider statistical inference for network-linked regression problems, where covariates may include network summary statistics computed for each node. In settings involving netw…
stat.ME2025
Statistical Inference for Subgraph Frequencies of Exchangeable Hyperedge Models
Ayoushman Bhattacharya, Nilanjan Chakraborty, Robert Lunde
In statistical network analysis, models for binary adjacency matrices satisfying vertex exchangeability are commonly used. However, such models may fail to capture key features of…