Inference from multivariate differential recruitment in respondent-driven sampling data
Fuente:
arXiv
Saved in:
| Main Authors: | Reinoso, Vanesa, Alvares, Danilo, Acosta, Jonathan, Beaudry, Isabelle S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
Bayesian regularization for flexible baseline hazard functions in Cox survival models
by: Lázaro, Elena, et al.
Published: (2024)
by: Lázaro, Elena, et al.
Published: (2024)
Estimating hidden population size from a single respondent-driven sampling survey
by: Yauck, Mamadou, et al.
Published: (2024)
by: Yauck, Mamadou, et al.
Published: (2024)
Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024)
by: Chen, Sida, et al.
Published: (2024)
Bayesian defective Marshall-Olkin Gompertz model: an integrated approach to identifying cure fraction
by: Alves-Neto, Dionisio, et al.
Published: (2024)
by: Alves-Neto, Dionisio, et al.
Published: (2024)
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
by: Neto, Dionisio Silva, et al.
Published: (2025)
by: Neto, Dionisio Silva, et al.
Published: (2025)
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022)
by: Alvares, Danilo, et al.
Published: (2022)
A new graph-based two-sample test for multivariate and object data
by: Chen, Hao, et al.
Published: (2013)
by: Chen, Hao, et al.
Published: (2013)
A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
by: Molina, Katy C., et al.
Published: (2025)
by: Molina, Katy C., et al.
Published: (2025)
Dealing with overdispersion in multivariate count data
by: Corsini, Noemi, et al.
Published: (2021)
by: Corsini, Noemi, et al.
Published: (2021)
Bayesian repulsive mixture model for multivariate functional data
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)
Inside-out cross-covariance for spatial multivariate data
by: Peruzzi, Michele
Published: (2024)
by: Peruzzi, Michele
Published: (2024)
Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023)
by: Koner, Salil, et al.
Published: (2023)
Modelling multivariate spatio-temporal data with identifiable variational autoencoders
by: Sipilä, Mika, et al.
Published: (2024)
by: Sipilä, Mika, et al.
Published: (2024)
A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
Missing data in non-stationary multivariate time series from digital studies in Psychiatry
by: Cai, Xiaoxuan, et al.
Published: (2025)
by: Cai, Xiaoxuan, et al.
Published: (2025)
The EAS approach to variable selection for multivariate response data in high-dimensional settings
by: Koner, Salil, et al.
Published: (2021)
by: Koner, Salil, et al.
Published: (2021)
Estimation of a multivariate von Mises distribution for contaminated torus data
by: Bertagnolli, Giulia, et al.
Published: (2024)
by: Bertagnolli, Giulia, et al.
Published: (2024)
Uniform-over-dimension location tests for multivariate and high-dimensional data
by: Karmakar, Ritabrata, et al.
Published: (2025)
by: Karmakar, Ritabrata, et al.
Published: (2025)
Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
by: Ghilotti, Lorenzo, et al.
Published: (2025)
by: Ghilotti, Lorenzo, et al.
Published: (2025)
Depth-based estimation for multivariate functional data with phase variability
by: Arribas-Gil, Ana, et al.
Published: (2026)
by: Arribas-Gil, Ana, et al.
Published: (2026)
Linear classification methods for multivariate repeated measures data -- a simulation study
by: Graf, Ricarda, et al.
Published: (2023)
by: Graf, Ricarda, et al.
Published: (2023)
Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial
by: Nguyen, Cattram D, et al.
Published: (2025)
by: Nguyen, Cattram D, et al.
Published: (2025)
Nonparametric data segmentation in multivariate time series via joint characteristic functions
by: McGonigle, Euan T., et al.
Published: (2023)
by: McGonigle, Euan T., et al.
Published: (2023)
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
by: Yao, Tsung-Hung, et al.
Published: (2024)
by: Yao, Tsung-Hung, et al.
Published: (2024)
Functional regression with multivariate responses
by: Luo, Ruiyan, et al.
Published: (2026)
by: Luo, Ruiyan, et al.
Published: (2026)
Continuous-time multivariate analysis
by: Paul, Biplab, et al.
Published: (2023)
by: Paul, Biplab, et al.
Published: (2023)
Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)
by: Armillotta, Mirko
Published: (2023)
Modeling temporal dependency of longitudinal data: use of multivariate geometric skew-normal copula
by: Chattopadhyay, Subhajit
Published: (2024)
by: Chattopadhyay, Subhajit
Published: (2024)
The general linear hypothesis testing problem for multivariate functional data with applications
by: Zhu, Tianming
Published: (2023)
by: Zhu, Tianming
Published: (2023)
Inference on state occupancy in covariate-driven hidden Markov models
by: Vienken, Maya N., et al.
Published: (2025)
by: Vienken, Maya N., et al.
Published: (2025)
Calibrating Bayesian Inference
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Efficient designs for multivariate crossover trials
by: Niphadkar, Shubham, et al.
Published: (2024)
by: Niphadkar, Shubham, et al.
Published: (2024)
On the Addams family of discrete frailty distributions for modelling multivariate case I interval-censored data
by: Bardo, Maximilian, et al.
Published: (2024)
by: Bardo, Maximilian, et al.
Published: (2024)
Supervised low-rank approximation of high-dimensional multivariate functional data via tensor decomposition
by: Alam, Mohammad Samsul, et al.
Published: (2024)
by: Alam, Mohammad Samsul, et al.
Published: (2024)
A maximum likelihood estimation of Lévy-driven stochastic systems for univariate and multivariate time series of observations
by: Arani, Babak M. S.
Published: (2024)
by: Arani, Babak M. S.
Published: (2024)
Cluster weighted models with multivariate skewed distributions for functional data
by: Anton, Cristina, et al.
Published: (2025)
by: Anton, Cristina, et al.
Published: (2025)
A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)
by: Pavani, Jessica, et al.
Published: (2024)
Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)
by: Seri, Emiliano, et al.
Published: (2024)
A latent space model for multivariate count data time series analysis
by: Kaur, Hardeep, et al.
Published: (2024)
by: Kaur, Hardeep, et al.
Published: (2024)
Similar Items
-
Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025) -
Bayesian regularization for flexible baseline hazard functions in Cox survival models
by: Lázaro, Elena, et al.
Published: (2024) -
Estimating hidden population size from a single respondent-driven sampling survey
by: Yauck, Mamadou, et al.
Published: (2024) -
Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024) -
Bayesian defective Marshall-Olkin Gompertz model: an integrated approach to identifying cure fraction
by: Alves-Neto, Dionisio, et al.
Published: (2024)