Cover Image

Improving exponential-family random graph models for bipartite networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stivala, Alex, Wang, Peng, Lomi, Alessandro
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ALAAMEE: Open-source software for fitting autologistic actor attribute models
by: Stivala, Alex, et al.
Published: (2024)

Relational hyperevent models for polyadic interaction networks
by: Lerner, Jürgen, et al.
Published: (2021)

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo
by: Hardcastle, Luke, et al.
Published: (2025)

Co-factor analysis of citation networks
by: Hayes, Alex, et al.
Published: (2024)

Sensitivity analysis for contamination in egocentric-network randomized trials with interference
by: Weinstein, Bar, et al.
Published: (2026)

Improving randomized controlled trial analysis via data-adaptive borrowing
by: Gao, Chenyin, et al.
Published: (2023)

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

Exponential family measurement error models for single-cell CRISPR screens
by: Barry, Timothy, et al.
Published: (2022)

Functional random effects modeling of brain shape and connectivity
by: Lila, Eardi, et al.
Published: (2020)

Separable models for dynamic signed networks
by: Caimo, Alberto, et al.
Published: (2025)

Power new generalized class of Kavya-Manoharan distributions with an application to exponential distribution
by: Benkhelifa, Lazhar
Published: (2025)

Relational hyperevent models for the coevolution of coauthoring and citation networks
by: Lerner, Jürgen, et al.
Published: (2023)

A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)

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

A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)

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

Asymptotics of numerical integration for two-level mixed models
by: Stringer, Alex, et al.
Published: (2022)

Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
by: Kuha, Jouni, et al.
Published: (2021)

Multiple clocks in network evolution
by: Bianchi, Federica, et al.
Published: (2025)

Estimating treatment effects with competing intercurrent events in randomized controlled trials
by: Lu, Sizhu, et al.
Published: (2025)

A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)

Consistency assessment and regional sample size calculation for MRCTs under random effects model
by: Ren, Xinru, et al.
Published: (2025)

Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
by: Baumann, Mary Ryan, et al.
Published: (2025)

Improving prediction models by incorporating external data with weights based on similarity
by: Behrens, Max, et al.
Published: (2024)

Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
by: Romanò, Giovanni, et al.
Published: (2025)

A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)

Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
by: Lu, Chaoyi, et al.
Published: (2024)

Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
by: D'Angelo, Nicoletta, et al.
Published: (2024)

Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
by: Rotous, Ioannis, et al.
Published: (2024)

Improved order selection method for hidden Markov models: a case study with movement data
by: Dupont, Fanny, et al.
Published: (2024)

Unified calibration and spatial mapping of fine particulate matter data from multiple low-cost air pollution sensor networks in Baltimore, Maryland
by: Heffernan, Claire, et al.
Published: (2024)

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
by: Perrin, Valentine, et al.
Published: (2024)

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

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

Local graph estimation with pathwise false discovery control
by: Melikechi, Omar, et al.
Published: (2025)

Predicting the trajectory of intracranial pressure in patients with traumatic brain injury: evaluation of a foundation model for time series
by: van Leeuwen, Florian D., et al.
Published: (2024)

Environmental extreme risk modeling via sub-sampling block maxima
by: Cheng, Tuoyuan, et al.
Published: (2025)

Flexible domain prediction using mixed effects random forests
by: Krennmair, Patrick, et al.
Published: (2022)

Trajectory-informed graph-based clustering for longitudinal cancer subtyping
by: Cavinato, Lara, et al.
Published: (2026)