Cover Image

Comparing name generator designs in rural panel studies: analyzing alter retention and change

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hâncean, Marian-Gabriel, Lerner, Jürgen, McCarty, Christopher
Format:	Preprint
Published:	2025
Subjects:	Methodology Social and Information Networks Physics and Society Applications 91D30 J.4; E.1; G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Loss Reserving: Dependence and Estimation
by: Fleck, Andrew, et al.
Published: (2024)

Modeling temporal hypergraphs
by: Lerner, Jürgen, et al.
Published: (2025)

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

Ensemble distributional forecasting for insurance loss reserving
by: Avanzi, Benjamin, et al.
Published: (2022)

Optimal Nonparametric Inference on Network Effects with Dependent Edges
by: Du, Wenqin, et al.
Published: (2024)

Orthogonalized Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
by: Davies, Tilman M., et al.
Published: (2026)

Compositional regression using principal nested spheres
by: Monem, Mymuna, et al.
Published: (2026)

A new interpoint distance-based clustering algorithm using kernel density estimation
by: Modak, Soumita
Published: (2023)

On The Performance of a Two-Sided Shewhart Chart for Continuous Proportions with Estimated Parameters
by: Rakitzis, Athanasios C.
Published: (2025)

Exponentially weighted moving average chart using zero-inflated negative binomial distribution
by: Abbas, Ali, et al.
Published: (2025)

Bootstrap prediction intervals for the age distribution of life-table death counts
by: Shang, Han Lin
Published: (2025)

Forecasting high-dimensional functional time series: Application to sub-national age-specific mortality
by: Jiménez-Varón, Cristian F., et al.
Published: (2023)

Forecasting Age Distribution of Deaths: Cumulative Distribution Function Transformation
by: Shang, Han Lin, et al.
Published: (2024)

Modeling Tripartite Hyperevents in Scientific Collaboration Networks
by: Barbagli, Amin Gino Fabbrucci, et al.
Published: (2026)

Condorcet cycle elections with influential voting blocs
by: Gendler, Gabriel
Published: (2024)

Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
by: Mayer, Melanie N., et al.
Published: (2023)

Dynamic Financial Analysis (DFA) of General Insurers under Climate Change
by: Avanzi, Benjamin, et al.
Published: (2025)

On the Unit Teissier Distribution: Properties, Estimation Procedures and Applications
by: Akhter, Zuber, et al.
Published: (2026)

A Spatial-statistical model to analyse historical rutting data
by: Jourdain, Natoya O. A. S., et al.
Published: (2024)

Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)

Bayesian Synthetic Control with a Soft Simplex Constraint
by: Xu, Yihong, et al.
Published: (2025)

On Spatio-Temporal Stochastic Frontier Models
by: Fusco, Elisa, et al.
Published: (2024)

A note on continuity and asymptotic consistency of measures of risk and variability
by: Gao, Niushan, et al.
Published: (2024)

A statistical framework for analyzing activity pattern from GPS data
by: Wu, Haoyang, et al.
Published: (2025)

Network-Adjusted Covariates for Community Detection
by: Hu, Yaofang, et al.
Published: (2023)

Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)

Optimal Network Pairwise Comparison
by: Jin, Jiashun, et al.
Published: (2024)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)

Lasso regularization for mixture experiments with noise variables
by: González-Navarrete, Manuel, et al.
Published: (2024)

Using Directed Acyclic Graphs to Illustrate Common Biases in Diagnostic Test Accuracy Studies
by: Lu, Yang, et al.
Published: (2026)

Perfect Clustering for Sparse Directed Stochastic Block Models
by: Aalipur, Behzad, et al.
Published: (2026)

What makes a study design quasi-experimental? The case of difference-in-differences
by: Renson, Audrey, et al.
Published: (2025)

Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)

Assessing Risk Heterogeneity through Heavy-Tailed Frequency and Severity Mixtures
by: Powers, Michael R., et al.
Published: (2025)

Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)

Non-Linear Model-Based Sequential Decision-Making in Agriculture
by: Arya, Sakshi, et al.
Published: (2025)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
by: Bo, Na, et al.
Published: (2024)

Comparing causal parameters with many treatments and positivity violations
by: McClean, Alec, et al.
Published: (2024)

Comparing baseball players across eras via novel Full House Modeling
by: Yan, Shen, et al.
Published: (2022)