VOL. 36 · NO. 1 | February 2021
 
VIEW ALL ABSTRACTS +
Frontmatter
Statist. Sci. 36 (1), (February 2021)
No abstract available
Statist. Sci. 36 (1), (February 2021)
No abstract available
Special Section on Network Data
Yihong Wu, Harrison Zhou
Statist. Sci. 36 (1), 1, (February 2021) DOI: 10.1214/20-STS361ED
No abstract available
Xiaodong Li, Yudong Chen, Jiaming Xu
Statist. Sci. 36 (1), 2-15, (February 2021) DOI: 10.1214/19-STS715
KEYWORDS: Community detection, semidefinite program, strong consistency, weak consistency, assortativity, degree correction, robustness
Chao Gao, Zongming Ma
Statist. Sci. 36 (1), 16-33, (February 2021) DOI: 10.1214/19-STS736
KEYWORDS: clustering, Minimax rates, polynomial-time algorithms, Random graphs, social networks
Peter Hoff
Statist. Sci. 36 (1), 34-50, (February 2021) DOI: 10.1214/19-STS757
KEYWORDS: Bayesian, factor model, generalized linear model, latent variable, matrix decomposition, Mixed effects model
Harry Crane, Walter Dempsey
Statist. Sci. 36 (1), 51-67, (February 2021) DOI: 10.1214/19-STS759
KEYWORDS: network data, sparse network, Scale-free network, edge exchangeable network, relational exchangeability, relative exchangeability, data generating process, network sampling
Avanti Athreya, Minh Tang, Youngser Park, Carey E. Priebe
Statist. Sci. 36 (1), 68-88, (February 2021) DOI: 10.1214/20-STS787
KEYWORDS: Latent structure random graphs, manifold learning, spectral graph inference, efficiency
Y. X. Rachel Wang, Lexin Li, Jingyi Jessica Li, Haiyan Huang
Statist. Sci. 36 (1), 89-108, (February 2021) DOI: 10.1214/20-STS792
KEYWORDS: Gene regulatory networks, brain connectivity networks, network reconstruction, Network inference
Articles
Corwin M. Zigler, Georgia Papadogeorgou
Statist. Sci. 36 (1), 109-123, (February 2021) DOI: 10.1214/19-STS749
KEYWORDS: Air pollution, Causal inference, interference, network dependence, power plants
Matthias Katzfuss, Joseph Guinness
Statist. Sci. 36 (1), 124-141, (February 2021) DOI: 10.1214/19-STS755
KEYWORDS: computational complexity, covariance approximation, directed acyclic graphs, large datasets, Sparsity, spatial statistics
Yijun Zuo
Statist. Sci. 36 (1), 142-157, (February 2021) DOI: 10.1214/20-STS767
KEYWORDS: depth, unfitness, Linear regression, maximum depth regression estimating functionals, robustness
Ying Lu, Dylan S. Small, Zhiliang Ying
Statist. Sci. 36 (1), 158-167, (February 2021) DOI: 10.1214/20-STS775
KEYWORDS: Hong Kong, Columbia University, Stanford University, statistics, biostatistics, Sequential experimentation, mathematical finance
Back to Top