Copertina

Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Inouzhe, Hristo, Rodríguez-Álvarez, María Xosé, Nagar, Lorenzo, Akhmatskaya, Elena
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Methodology Applications Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adaptive tuning of Hamiltonian Monte Carlo methods
di: Akhmatskaya, Elena, et al.
Pubblicazione: (2025)

Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
di: Nagar, Lorenzo, et al.
Pubblicazione: (2023)

Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors
di: Hardcastle, Luke, et al.
Pubblicazione: (2024)

Density regression via Dirichlet process mixtures of normal structured additive regression models
di: Rodríguez-Álvarez, María Xosé, et al.
Pubblicazione: (2024)

Bayesian models are better than frequentist models in identifying differences in small datasets comprising phonetic data
di: Georgiou, Georgios P.
Pubblicazione: (2023)

Modi linear failure rate distribution with application to survival time data
di: Benkhelifa, Lazhar
Pubblicazione: (2025)

Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
di: Murph, Alexander C., et al.
Pubblicazione: (2024)

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
di: Meng, Xianghao, et al.
Pubblicazione: (2026)

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

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
di: Suk, Youmi, et al.
Pubblicazione: (2026)

A mover-stayer model with time-dependent stayer fraction
di: Musta, Eni, et al.
Pubblicazione: (2025)

Bias reduction method for prior event rate ratio, with application to emergency department visit rates in patients with advanced cancer
di: Ma, Xiangmei, et al.
Pubblicazione: (2025)

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
di: Bhandari, Saurabh, et al.
Pubblicazione: (2024)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
di: Fadikar, Arindam, et al.
Pubblicazione: (2024)

COVID-19 Clinical footprint to infer about mortality
di: Rodríguez, Carlos E., et al.
Pubblicazione: (2021)

DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
di: Pelto, Juho, et al.
Pubblicazione: (2026)

The Whittle likelihood for mixed models with application to groundwater level time series
di: Pypkowski, Jakub J., et al.
Pubblicazione: (2025)

Strategy to control biases in prior event rate ratio method, with application to palliative care in patients with advanced cancer
di: Ma, Xiangmei, et al.
Pubblicazione: (2024)

A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
di: Steyn, Nicholas, et al.
Pubblicazione: (2025)

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
di: Bonnet, Anna, et al.
Pubblicazione: (2025)

Causal effects on non-terminal event time with application to antibiotic usage and future resistance
di: Zehavi, Tamir, et al.
Pubblicazione: (2025)

Debiasing hazard-based, time-varying vaccine effects using vaccine-irrelevant infections: An observational extension of a pivotal Phase 3 COVID-19 vaccine efficacy trial
di: Ashby, Ethan, et al.
Pubblicazione: (2025)

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
di: Drennan, Avery, et al.
Pubblicazione: (2025)

Time-variant reliability using time-dependent surrogate models
di: Marelli, Stefano, et al.
Pubblicazione: (2026)

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
di: Peng, K. Ken, et al.
Pubblicazione: (2024)

A time warping model for seasonal data with application to age estimation from narwhal tusks
di: Reiter, Lars Nørtoft, et al.
Pubblicazione: (2024)

Statistics did not prove that the Huanan Seafood Wholesale Market was the early epicenter of the COVID-19 pandemic
di: Stoyan, Dietrich, et al.
Pubblicazione: (2022)

Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
di: Trangucci, Rob, et al.
Pubblicazione: (2022)

Logistic regression with missing responses and predictors: a review of existing approaches and a case study
di: Martins, Susana Rafaela, et al.
Pubblicazione: (2023)

A new method for augmenting short time series, with application to pain events in sickle cell disease
di: Utkarsh, Kumar, et al.
Pubblicazione: (2026)

Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
di: Voldoire, Théo, et al.
Pubblicazione: (2024)

An Italian Gender Equality Index
di: Panebianco, Lorenzo
Pubblicazione: (2025)

Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
di: Zhang, Rongqian, et al.
Pubblicazione: (2026)

Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
di: Wolock, Charles J., et al.
Pubblicazione: (2024)

Modelling non-stationary extremal dependence through a geometric approach
di: Murphy-Barltrop, C. J. R., et al.
Pubblicazione: (2025)

Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19
di: Künsch, Hans R., et al.
Pubblicazione: (2025)

Bayesian estimation of clustered dependence structures in functional neuroconnectivity
di: Kim, Hyoshin, et al.
Pubblicazione: (2023)

Clustering of multivariate tail dependence using conditional methods
di: O'Toole, Patrick, et al.
Pubblicazione: (2025)

Coarsened data in small area estimation: a Bayesian two-part model for mapping smoking behaviour
di: Gardini, Aldo, et al.
Pubblicazione: (2026)

Finite mixture copulas for modeling dependence in longitudinal count data
di: Chattopadhyay, Subhajit
Pubblicazione: (2024)