Image de couverture de livre

Inference from multivariate differential recruitment in respondent-driven sampling data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Reinoso, Vanesa, Alvares, Danilo, Acosta, Jonathan, Beaudry, Isabelle S.
Format:	Preprint
Publié:	2026
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
par: Sepulveda-Peñaloza, Alejandro, et autres
Publié: (2025)

Bayesian regularization for flexible baseline hazard functions in Cox survival models
par: Lázaro, Elena, et autres
Publié: (2024)

Estimating hidden population size from a single respondent-driven sampling survey
par: Yauck, Mamadou, et autres
Publié: (2024)

Bayesian shared parameter joint models for heterogeneous populations
par: Chen, Sida, et autres
Publié: (2024)

Bayesian defective Marshall-Olkin Gompertz model: an integrated approach to identifying cure fraction
par: Alves-Neto, Dionisio, et autres
Publié: (2024)

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
par: Neto, Dionisio Silva, et autres
Publié: (2025)

Bayesian survival analysis with INLA
par: Alvares, Danilo, et autres
Publié: (2022)

A new graph-based two-sample test for multivariate and object data
par: Chen, Hao, et autres
Publié: (2013)

A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
par: Molina, Katy C., et autres
Publié: (2025)

Dealing with overdispersion in multivariate count data
par: Corsini, Noemi, et autres
Publié: (2021)

Bayesian repulsive mixture model for multivariate functional data
par: Pedroso, Ricardo Cunha, et autres
Publié: (2026)

Inside-out cross-covariance for spatial multivariate data
par: Peruzzi, Michele
Publié: (2024)

Projection-based two-sample inference for sparsely observed multivariate functional data
par: Koner, Salil, et autres
Publié: (2023)

Modelling multivariate spatio-temporal data with identifiable variational autoencoders
par: Sipilä, Mika, et autres
Publié: (2024)

A multivariate spatial model for ordinal survey-based data
par: Beltrán-Sánchez, Miguel Ángel, et autres
Publié: (2025)

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
par: Cai, Xiaoxuan, et autres
Publié: (2025)

The EAS approach to variable selection for multivariate response data in high-dimensional settings
par: Koner, Salil, et autres
Publié: (2021)

Estimation of a multivariate von Mises distribution for contaminated torus data
par: Bertagnolli, Giulia, et autres
Publié: (2024)

Uniform-over-dimension location tests for multivariate and high-dimensional data
par: Karmakar, Ritabrata, et autres
Publié: (2025)

Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
par: Ghilotti, Lorenzo, et autres
Publié: (2025)

Depth-based estimation for multivariate functional data with phase variability
par: Arribas-Gil, Ana, et autres
Publié: (2026)

Linear classification methods for multivariate repeated measures data -- a simulation study
par: Graf, Ricarda, et autres
Publié: (2023)

Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial
par: Nguyen, Cattram D, et autres
Publié: (2025)

Nonparametric data segmentation in multivariate time series via joint characteristic functions
par: McGonigle, Euan T., et autres
Publié: (2023)

Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
par: Yao, Tsung-Hung, et autres
Publié: (2024)

Functional regression with multivariate responses
par: Luo, Ruiyan, et autres
Publié: (2026)

Continuous-time multivariate analysis
par: Paul, Biplab, et autres
Publié: (2023)

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
par: Armillotta, Mirko
Publié: (2023)

Modeling temporal dependency of longitudinal data: use of multivariate geometric skew-normal copula
par: Chattopadhyay, Subhajit
Publié: (2024)

The general linear hypothesis testing problem for multivariate functional data with applications
par: Zhu, Tianming
Publié: (2023)

Inference on state occupancy in covariate-driven hidden Markov models
par: Vienken, Maya N., et autres
Publié: (2025)

Calibrating Bayesian Inference
par: Liu, Yang, et autres
Publié: (2025)

Efficient designs for multivariate crossover trials
par: Niphadkar, Shubham, et autres
Publié: (2024)

On the Addams family of discrete frailty distributions for modelling multivariate case I interval-censored data
par: Bardo, Maximilian, et autres
Publié: (2024)

Supervised low-rank approximation of high-dimensional multivariate functional data via tensor decomposition
par: Alam, Mohammad Samsul, et autres
Publié: (2024)

A maximum likelihood estimation of Lévy-driven stochastic systems for univariate and multivariate time series of observations
par: Arani, Babak M. S.
Publié: (2024)

Cluster weighted models with multivariate skewed distributions for functional data
par: Anton, Cristina, et autres
Publié: (2025)

A Bayesian multivariate model with temporal dependence on random partition of areal data
par: Pavani, Jessica, et autres
Publié: (2024)

Partial membership models for soft clustering of multivariate football player performance data
par: Seri, Emiliano, et autres
Publié: (2024)

A latent space model for multivariate count data time series analysis
par: Kaur, Hardeep, et autres
Publié: (2024)