Saved in:
| Main Authors: | Piulachs, Xavier, Langohr, Klaus, Besalú, Mireia, Pallarès, Natalia, Carratalà, Jordi, Tebé, Cristian, Melis, Guadalupe Gómez |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.12027 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi‐Markov Multistate Modeling Approaches for Multicohort Event History Data
by: Xavier Piulachs, et al.
Published: (2025)
by: Xavier Piulachs, et al.
Published: (2025)
Semiparametric estimation of GLMs with interval-censored covariates via an augmented Turnbull estimator
by: Toloba, Andrea, et al.
Published: (2026)
by: Toloba, Andrea, et al.
Published: (2026)
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
by: Morsomme, Raphael, et al.
Published: (2025)
by: Morsomme, Raphael, et al.
Published: (2025)
Hidden multistate models to study multimorbidity trajectories
by: Manzoni, Valentina, et al.
Published: (2026)
by: Manzoni, Valentina, et al.
Published: (2026)
A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)
by: Das, Snigdha, et al.
Published: (2025)
A multistate approach to disability insurance reserving with information delays
by: Sandqvist, Oliver Lunding
Published: (2023)
by: Sandqvist, Oliver Lunding
Published: (2023)
Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
by: Aschermayr, Patrick, et al.
Published: (2026)
by: Aschermayr, Patrick, et al.
Published: (2026)
Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
by: Calvo, Gabriel, et al.
Published: (2023)
by: Calvo, Gabriel, et al.
Published: (2023)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
Markov modeling for a satellite tag data record of whale diving behavior
by: Hewitt, Joshua, et al.
Published: (2024)
by: Hewitt, Joshua, et al.
Published: (2024)
Hierarchical Semi-Markov Models with Duration-Aware Dynamics for Activity Sequences
by: Dube, Rohit, et al.
Published: (2025)
by: Dube, Rohit, et al.
Published: (2025)
Simultaneous clustering and estimation of additive shape invariant models for recurrent event data
by: Zhang, Zitong, et al.
Published: (2024)
by: Zhang, Zitong, et al.
Published: (2024)
Modelling multi-scale state-switching functional data with hidden Markov models
by: Sidrow, Evan, et al.
Published: (2021)
by: Sidrow, Evan, et al.
Published: (2021)
Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)
by: Manderson, Andrew A., et al.
Published: (2021)
Improved order selection method for hidden Markov models: a case study with movement data
by: Dupont, Fanny, et al.
Published: (2024)
by: Dupont, Fanny, et al.
Published: (2024)
Geometric Morphometrics approach for classifying children's nutritional status on out of sample data
by: Medialdea, Laura, et al.
Published: (2026)
by: Medialdea, Laura, et al.
Published: (2026)
Joining and splitting models with Markov melding
by: Goudie, Robert J. B., et al.
Published: (2016)
by: Goudie, Robert J. B., et al.
Published: (2016)
Monitoring time to event in registry data using CUSUMs based on relative survival models
by: Tran, Jimmy Huy, et al.
Published: (2024)
by: Tran, Jimmy Huy, et al.
Published: (2024)
Flexible unimodal density estimation in hidden Markov models
by: Koslik, Jan-Ole, et al.
Published: (2025)
by: Koslik, Jan-Ole, et al.
Published: (2025)
Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2025)
by: Młynarczyk, Dorota, et al.
Published: (2025)
Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework
by: Botha, Arno, et al.
Published: (2025)
by: Botha, Arno, et al.
Published: (2025)
Reverse stress testing via multivariate modeling with vine copulas
by: Zhou, Menglin, et al.
Published: (2024)
by: Zhou, Menglin, et al.
Published: (2024)
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
by: Alt, Ethan M., et al.
Published: (2024)
by: Alt, Ethan M., et al.
Published: (2024)
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
by: Xian, Jianhua, et al.
Published: (2023)
by: Xian, Jianhua, et al.
Published: (2023)
Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2026)
by: Młynarczyk, Dorota, et al.
Published: (2026)
Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion
by: Fabio, Lizandra Castilho, et al.
Published: (2021)
by: Fabio, Lizandra Castilho, et al.
Published: (2021)
Spatio-temporal modeling of urban extreme rainfall events at high resolution
by: Serre-Combe, Chloé, et al.
Published: (2026)
by: Serre-Combe, Chloé, et al.
Published: (2026)
Comparing estimators of discriminative performance of time-to-event models
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Scale dependence in hidden Markov models for animal movement
by: Michelot, Théo, et al.
Published: (2025)
by: Michelot, Théo, et al.
Published: (2025)
A comparison of the Alkire-Foster method and a Markov random field approach in the analysis of multidimensional poverty
by: Lam, Joseph
Published: (2025)
by: Lam, Joseph
Published: (2025)
Hidden semi-Markov models with inhomogeneous state dwell-time distributions
by: Koslik, Jan-Ole
Published: (2024)
by: Koslik, Jan-Ole
Published: (2024)
Probabilistic forecasting of weather-driven faults in electricity networks: a flexible approach for extreme and non-extreme events
by: Maia, Mateus, et al.
Published: (2026)
by: Maia, Mateus, et al.
Published: (2026)
Rare event probability estimation for groundwater inverse problems with a two-stage Sequential Monte Carlo approach
by: Friedli, Lea, et al.
Published: (2024)
by: Friedli, Lea, et al.
Published: (2024)
Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
Bayesian sequential analysis of adverse events with binary data
by: Wang, Jiayue, et al.
Published: (2025)
by: Wang, Jiayue, et al.
Published: (2025)
Nodal heterogeneity can induce ghost triadic effects in relational event models
by: Juozaitienė, Rūta, et al.
Published: (2022)
by: Juozaitienė, Rūta, et al.
Published: (2022)
Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
by: Gallegos-Herrada, Marco A., et al.
Published: (2026)
by: Gallegos-Herrada, Marco A., et al.
Published: (2026)
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
Multivariate Shared Frailty Cure-Rate models: a focus on Breast Cancer family history
by: Vinattieri, Maria Veronica, et al.
Published: (2025)
by: Vinattieri, Maria Veronica, et al.
Published: (2025)
Spatio-temporal modeling for record-breaking temperature events in Spain
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
Similar Items
-
Semi‐Markov Multistate Modeling Approaches for Multicohort Event History Data
by: Xavier Piulachs, et al.
Published: (2025) -
Semiparametric estimation of GLMs with interval-censored covariates via an augmented Turnbull estimator
by: Toloba, Andrea, et al.
Published: (2026) -
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
by: Morsomme, Raphael, et al.
Published: (2025) -
Hidden multistate models to study multimorbidity trajectories
by: Manzoni, Valentina, et al.
Published: (2026) -
A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)