Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Temfack, Dhorasso, Wyse, Jason |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A sequential ensemble approach to epidemic modeling: Combining Hawkes and SEIR models using SMC$^2$
par: Temfack, Dhorasso, et autres
Publié: (2025)
par: Temfack, Dhorasso, et autres
Publié: (2025)
Sequential Monte Carlo Squared for online inference in stochastic epidemic models
par: Temfack, Dhorasso, et autres
Publié: (2025)
par: Temfack, Dhorasso, et autres
Publié: (2025)
A review of sequential Monte Carlo methods for real-time disease modeling
par: Temfack, Dhorasso, et autres
Publié: (2024)
par: Temfack, Dhorasso, et autres
Publié: (2024)
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
par: Golightly, Andrew, et autres
Publié: (2025)
par: Golightly, Andrew, et autres
Publié: (2025)
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
par: Whitaker, Sam A., et autres
Publié: (2024)
par: Whitaker, Sam A., et autres
Publié: (2024)
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
par: Heaney, Matthew, et autres
Publié: (2025)
par: Heaney, Matthew, et autres
Publié: (2025)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)
par: Dempsey, Daniel, et autres
Publié: (2024)
A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
par: Steyn, Nicholas, et autres
Publié: (2025)
par: Steyn, Nicholas, et autres
Publié: (2025)
Guided sequential ABC schemes for intractable Bayesian models
par: Picchini, Umberto, et autres
Publié: (2022)
par: Picchini, Umberto, et autres
Publié: (2022)
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
par: Pesonen, Henri, et autres
Publié: (2023)
par: Pesonen, Henri, et autres
Publié: (2023)
Bayesian inference and cure rate modeling for event history data
par: Papastamoulis, Panagiotis, et autres
Publié: (2023)
par: Papastamoulis, Panagiotis, et autres
Publié: (2023)
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
par: Li, Wentao, et autres
Publié: (2024)
par: Li, Wentao, et autres
Publié: (2024)
Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
par: Tancini, Daniele, et autres
Publié: (2025)
par: Tancini, Daniele, et autres
Publié: (2025)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)
par: Chen, David, et autres
Publié: (2024)
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
par: Baghfalaki, Taban, et autres
Publié: (2025)
par: Baghfalaki, Taban, et autres
Publié: (2025)
Why not a thin plate spline for spatial models? A comparative study using Bayesian inference
par: Cavieres, Joaquin, et autres
Publié: (2024)
par: Cavieres, Joaquin, et autres
Publié: (2024)
Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
par: Salimi, Selva, et autres
Publié: (2026)
par: Salimi, Selva, et autres
Publié: (2026)
Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
par: Han, Geonhee, et autres
Publié: (2025)
par: Han, Geonhee, et autres
Publié: (2025)
Fast Bayesian inference in a class of sparse linear mixed effects models
par: Spyropoulou, M-Z., et autres
Publié: (2024)
par: Spyropoulou, M-Z., et autres
Publié: (2024)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
par: Rustand, Denis, et autres
Publié: (2026)
par: Rustand, Denis, et autres
Publié: (2026)
Approximate Bayesian inference for cumulative probit regression models
par: Aliverti, Emanuele
Publié: (2025)
par: Aliverti, Emanuele
Publié: (2025)
Simulation-based Bayesian inference under model misspecification
par: Kelly, Ryan P., et autres
Publié: (2025)
par: Kelly, Ryan P., et autres
Publié: (2025)
Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
par: Adeoye, Matthew, et autres
Publié: (2026)
par: Adeoye, Matthew, et autres
Publié: (2026)
A modelling framework for detecting and leveraging node-level information in Bayesian network inference
par: Xi, Xiaoyue, et autres
Publié: (2023)
par: Xi, Xiaoyue, et autres
Publié: (2023)
Bayesian inference for stochastic oscillatory systems using the phase-corrected Linear Noise Approximation
par: Swallow, Ben, et autres
Publié: (2022)
par: Swallow, Ben, et autres
Publié: (2022)
Efficient Bayesian inference for two-stage models in environmental epidemiology
par: Larin, Konstantin, et autres
Publié: (2025)
par: Larin, Konstantin, et autres
Publié: (2025)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
par: Kang, Bokgyeong, et autres
Publié: (2023)
par: Kang, Bokgyeong, et autres
Publié: (2023)
Bayesian inference for case-control point pattern data in spatial epidemiology with the \texttt{inlabru} R package
par: Palmí-Perales, Francisco, et autres
Publié: (2025)
par: Palmí-Perales, Francisco, et autres
Publié: (2025)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
par: Morsomme, Raphael, et autres
Publié: (2024)
par: Morsomme, Raphael, et autres
Publié: (2024)
A strategy to avoid particle depletion in recursive Bayesian inference
par: Scharf, Henry R.
Publié: (2025)
par: Scharf, Henry R.
Publié: (2025)
Scalable Bayesian inference for time series via divide-and-conquer
par: Ou, Rihui, et autres
Publié: (2021)
par: Ou, Rihui, et autres
Publié: (2021)
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
par: Quiroz, Matias, et autres
Publié: (2026)
par: Quiroz, Matias, et autres
Publié: (2026)
Bayesian sequential analysis of adverse events with binary data
par: Wang, Jiayue, et autres
Publié: (2025)
par: Wang, Jiayue, et autres
Publié: (2025)
Robust Bayesian methods using amortized simulation-based inference
par: Yuyan, Wang, et autres
Publié: (2025)
par: Yuyan, Wang, et autres
Publié: (2025)
A computationally efficient procedure for combining ecological datasets by means of sequential consensus inference
par: Figueira, Mario, et autres
Publié: (2024)
par: Figueira, Mario, et autres
Publié: (2024)
A switching state-space transmission model for tracking epidemics and assessing interventions
par: Feng, Jingxue, et autres
Publié: (2023)
par: Feng, Jingxue, et autres
Publié: (2023)
Non-centred Bayesian inference for discrete-valued state-transition models: the Rippler algorithm
par: Neill, James, et autres
Publié: (2026)
par: Neill, James, et autres
Publié: (2026)
Bayesian inference on Cox regression models using catalytic prior distributions
par: Li, Weihao, et autres
Publié: (2023)
par: Li, Weihao, et autres
Publié: (2023)
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
par: Li, Chengkun, et autres
Publié: (2023)
par: Li, Chengkun, et autres
Publié: (2023)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
par: Rustand, Denis, et autres
Publié: (2022)
par: Rustand, Denis, et autres
Publié: (2022)
Documents similaires
-
A sequential ensemble approach to epidemic modeling: Combining Hawkes and SEIR models using SMC$^2$
par: Temfack, Dhorasso, et autres
Publié: (2025) -
Sequential Monte Carlo Squared for online inference in stochastic epidemic models
par: Temfack, Dhorasso, et autres
Publié: (2025) -
A review of sequential Monte Carlo methods for real-time disease modeling
par: Temfack, Dhorasso, et autres
Publié: (2024) -
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
par: Golightly, Andrew, et autres
Publié: (2025) -
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
par: Whitaker, Sam A., et autres
Publié: (2024)