Cover Image

Online network change point detection with missing values and temporal dependence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Haotian, Dubey, Paromita, Yu, Yi
Format:	Preprint
Published:	2021
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Change Point Inference for Non-Euclidean Data Sequences using Distance Profiles
by: Dubey, Paromita, et al.
Published: (2023)

DiPMInd: Distance Profile based Mutual Independence testing for random objects
by: Chen, Yaqing, et al.
Published: (2024)

Modeling Time-Varying Random Objects and Dynamic Networks
by: Dubey, Paromita, et al.
Published: (2021)

Metric Statistics: Exploration and Inference for Random Objects With Distance Profiles
by: Dubey, Paromita, et al.
Published: (2022)

DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
by: Kim, Kyum, et al.
Published: (2025)

Inference for Fréchet Regression
by: Song, Wookyeong, et al.
Published: (2026)

Change point localisation and inference in fragmented functional data
by: Xue, Gengyu, et al.
Published: (2024)

Online Learning for Autoregressive Multilayer Stochastic Block Models under Stationarity and Non-Stationarity
by: Wang, Fan, et al.
Published: (2026)

MOPED: A moving sum method for change point detection in pairwise extremal dependence
by: McGonigle, Euan T., et al.
Published: (2025)

Tensor time series change-point detection in cryptocurrency network data
by: Anastasiou, Andreas, et al.
Published: (2025)

Neural network-based CUSUM for online change-point detection
by: Gong, Tingnan, et al.
Published: (2022)

Multilayer random dot product graphs: Estimation and online change point detection
by: Wang, Fan, et al.
Published: (2023)

Multiple change-point detection for some point processes
by: Dion-Blanc, C., et al.
Published: (2023)

R-miss-tastic: a unified platform for missing values methods and workflows
by: Mayer, Imke, et al.
Published: (2019)

Bayesian variance change point detection with credible sets
by: Cappello, Lorenzo, et al.
Published: (2022)

Bayesian optimal change point detection in high-dimensions
by: Kim, Jaehoon, et al.
Published: (2024)

A Bayesian framework for change-point detection with uncertainty quantification
by: Berlind, Davis, et al.
Published: (2025)

Hypothesis testing for community structure in temporal networks using e-values
by: Yanchenko, Eric, et al.
Published: (2025)

Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
by: Ondrus, Martin, et al.
Published: (2021)

On two-sample testing for data with arbitrarily missing values
by: Zeng, Yijin, et al.
Published: (2024)

Predicting missing values: A good idea?
by: van Buuren, Stef
Published: (2026)

Imputation of missing values in multi-view data
by: van Loon, Wouter, et al.
Published: (2022)

Multiple change-point detection on the circle via isolation using permutation testing
by: Loizidou, Sophia, et al.
Published: (2026)

Moving sum procedure for multiple change point detection in large factor models
by: Barigozzi, Matteo, et al.
Published: (2024)

Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)

BLAST: Bayesian online change-point detection with structured image data
by: Zheng, Xiaojun, et al.
Published: (2025)

Least trimmed squares regression with missing values and cellwise outliers
by: Raymaekers, Jakob, et al.
Published: (2026)

Higher-criticism for sparse multi-stream change-point detection
by: Gong, Tingnan, et al.
Published: (2024)

A spectral approach for online covariance change point detection
by: Bao, Zhigang, et al.
Published: (2026)

Variance component score test for multivariate change point detection with applications to mobile health
by: Martin, Melissa Lynne, et al.
Published: (2026)

Bayesian online collective anomaly and change point detection in fine-grained time series
by: Chen, Xian, et al.
Published: (2025)

Boosting prediction with data missing not at random
by: Bian, Yuan, et al.
Published: (2025)

An extension to reversible jump Markov chain Monte Carlo for change point problems with heterogeneous temporal dynamics
by: Gribbin, Emily, et al.
Published: (2026)

Spectral clustering for dependent community Hawkes process models of temporal networks
by: Zhao, Lingfei, et al.
Published: (2025)

Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)

Online Bayesian changepoint detection for network Poisson processes with community structure
by: Corneck, Joshua, et al.
Published: (2024)

Consistent and powerful CUSUM change-point test for panel data with changes in variance
by: Yang, Wenzhi, et al.
Published: (2026)

Multiple change point detection in functional data with applications to biomechanical fatigue data
by: Bastian, Patrick, et al.
Published: (2023)

Robust mean change point testing in high-dimensional data with heavy tails
by: Li, Mengchu, et al.
Published: (2023)

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
by: Kovács, Solt, et al.
Published: (2020)