Copertina

An integrated method for clustering and association network inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tous, Jeanne, Chiquet, Julien
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Applications Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Zero-inflation in the Multivariate Poisson Lognormal Family
di: Batardière, Bastien, et al.
Pubblicazione: (2024)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
di: Rustand, Denis, et al.
Pubblicazione: (2026)

Connections as treatment: causal inference with edge interventions in networks
di: Chen, Shuli, et al.
Pubblicazione: (2026)

Automated threshold selection and associated inference uncertainty for univariate extremes
di: Murphy, Conor, et al.
Pubblicazione: (2023)

Design-based inference for generalized network experiments with stochastic interventions
di: Chattopadhyay, Ambarish, et al.
Pubblicazione: (2023)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
di: Whitaker, Sam A., et al.
Pubblicazione: (2024)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
di: Kang, Bokgyeong, et al.
Pubblicazione: (2023)

Weighting methods for truncation by death in cluster-randomized trials
di: Isenberg, Dane, et al.
Pubblicazione: (2024)

Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
di: Rustand, Denis, et al.
Pubblicazione: (2022)

Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
di: Wang, Tianyi, et al.
Pubblicazione: (2026)

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
di: Ouyang, Yongdong, et al.
Pubblicazione: (2023)

Leveraging text data for causal inference using electronic health records
di: Mozer, Reagan, et al.
Pubblicazione: (2023)

Adaptive tuning of Hamiltonian Monte Carlo methods
di: Akhmatskaya, Elena, et al.
Pubblicazione: (2025)

Heterogeneity-aware integrative regression for ancestry-specific association studies
di: Molstad, Aaron J., et al.
Pubblicazione: (2023)

Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
di: Sasaki, Kotaro, et al.
Pubblicazione: (2026)

nonprobsvy -- An R package for modern methods for non-probability surveys
di: Chrostowski, Łukasz, et al.
Pubblicazione: (2025)

Comparison of Bayesian methods for extrapolation of treatment effects: a large scale simulation study
di: Fauvel, Tristan, et al.
Pubblicazione: (2025)

Generalized method of L-moment estimation for stationary and nonstationary extreme value models
di: Shin, Yonggwan, et al.
Pubblicazione: (2025)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
di: St-Pierre, Julien, et al.
Pubblicazione: (2025)

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
di: Yu, Tonghui, et al.
Pubblicazione: (2026)

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

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
di: Owen, Melody, et al.
Pubblicazione: (2025)

Causal inference with a functional outcome
di: Ecker, Kreske, et al.
Pubblicazione: (2023)

Bayesian inference of Latent Spectral Shapes
di: Yip, Hiu Ching, et al.
Pubblicazione: (2024)

Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
di: Cerqueti, Roy, et al.
Pubblicazione: (2024)

Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
di: Aurensanz-Crespo, Adrián, et al.
Pubblicazione: (2026)

A multiscale method for data collected from network edges via the line graph
di: Cao, Dingjia, et al.
Pubblicazione: (2024)

Significant inference and confidence sets for graphical models
di: Koldanov, P. A., et al.
Pubblicazione: (2025)

Causal inference with dyadic data in randomized experiments
di: Li, Yilin, et al.
Pubblicazione: (2025)

Non-parametric inference on calibration of predicted risks
di: Sadatsafavi, Mohsen, et al.
Pubblicazione: (2023)

Statistical inference after variable selection in Cox models: A simulation study
di: Schemet, Lena, et al.
Pubblicazione: (2026)

Alternative statistical inference for the first normalized incomplete moment
di: Lu, Jiannan, et al.
Pubblicazione: (2025)

Selective randomization inference for subgroup effects with continuous biomarkers
di: Gao, Zijun
Pubblicazione: (2025)

Robust inference for the unification of confidence intervals in meta-analysis
di: Liang, Wei, et al.
Pubblicazione: (2024)

COVID-19 Clinical footprint to infer about mortality
di: Rodríguez, Carlos E., et al.
Pubblicazione: (2021)

Nonparametric efficient inference for network quantile causal effects under partial interference
di: Cheng, Chao, et al.
Pubblicazione: (2026)

Cheap Subsampling bootstrap confidence intervals for fast and robust inference
di: Ohlendorff, Johan Sebastian, et al.
Pubblicazione: (2025)

Integrating representative and non-representative survey data for efficient inference
di: Dyrkton, Nathaniel, et al.
Pubblicazione: (2024)

Conformal inference for cell type annotation with graph-structured constraints
di: Corbetta, Daniela, et al.
Pubblicazione: (2024)

Correcting inferences for volunteer-collected data with geospatial sampling bias
di: Lugtig, Peter, et al.
Pubblicazione: (2022)