Cargando…

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Bayesian inference methodology that quantifies these uncertainties, for epidemics that are modelled by (possibly) non-statio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Yuting I., Turk, Günther, Rohrbach, Paul B., Pietzonka, Patrick, Kappler, Julian, Singh, Rajesh, Dolezal, Jakub, Ekeh, Timothy, Kikuchi, Lukas, Peterson, Joseph D., Bolitho, Austen, Kobayashi, Hideki, Cates, Michael E., Adhikari, R., Jack, Robert L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Royal Society 2021
Materias:	Mathematics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355677/ https://www.ncbi.nlm.nih.gov/pubmed/34430050 http://dx.doi.org/10.1098/rsos.211065

Ejemplares similares

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK
por: Pietzonka, Patrick, et al.
Publicado: (2021)

Bayesian inference for stochastic processes
por: Broemeling, Lyle D
Publicado: (2017)

Bayesian Estimation and Inference Using Stochastic Electronics
por: Thakur, Chetan Singh, et al.
Publicado: (2016)

Bayesian inference and comparison of stochastic transcription elongation models
por: Douglas, Jordan, et al.
Publicado: (2020)

Efficient Bayesian inference for stochastic agent-based models
por: Jørgensen, Andreas Christ Sølvsten, et al.
Publicado: (2022)

Inferring Epidemiological Dynamics with Bayesian Coalescent Inference: The Merits of Deterministic and Stochastic Models
por: Popinga, Alex, et al.
Publicado: (2015)

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
por: Gamerman, Dani, et al.
Publicado: (2006)

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference
por: Shim, Yong, et al.
Publicado: (2017)

Stochastic approximation cut algorithm for inference in modularized Bayesian models
por: Liu, Yang, et al.
Publicado: (2021)

Correction: Bayesian inference and comparison of stochastic transcription elongation models
Publicado: (2021)

Detecting drought regulators using stochastic inference in Bayesian networks
por: Lahiri, Aditya, et al.
Publicado: (2021)

Phylogenetic inference under recombination using Bayesian stochastic topology selection
por: Webb, Alex, et al.
Publicado: (2009)

Bayesian inference on stochastic gene transcription from flow cytometry data
por: Tiberi, Simone, et al.
Publicado: (2018)

Stochastic Variational Inference for Bayesian Phylogenetics: A Case of CAT Model
por: Dang, Tung, et al.
Publicado: (2019)

“Exact” and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study
por: Shapovalova, Yuliya
Publicado: (2021)

Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference
por: Zaballa, Vincent D., et al.
Publicado: (2023)

Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
por: Zhang, Wen-Hao, et al.
Publicado: (2023)

Fast Bayesian inference of optical trap stiffness and particle diffusion
por: Bera, Sudipta, et al.
Publicado: (2017)

Bayesian non-parametric inference for stochastic epidemic models using Gaussian Processes
por: Xu, Xiaoguang, et al.
Publicado: (2016)

Bayesian Inference on Proportional Elections
por: Brunello, Gabriel Hideki Vatanabe, et al.
Publicado: (2015)

Fully Bayesian Inference for Structural MRI: Application to Segmentation and Statistical Analysis of T2-Hypointensities
por: Schmidt, Paul, et al.
Publicado: (2013)

Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal
por: Eckstein, Maria K., et al.
Publicado: (2022)

Reliable and resource preserving emulation for Bayesian model inference
por: Günther, Sven
Publicado: (2023)

Bayesian inference
por: Cardenas, Rosario O
Publicado: (2018)

Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density
por: Wu, Qianqian, et al.
Publicado: (2014)

Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism
por: Johnston, Iain G, et al.
Publicado: (2015)

Theory of stochastic objects: probability, stochastic processes and inference
por: Micheas, Athanasios Christou
Publicado: (2017)

Bayesian inference of a non-local proliferation model
por: Szymańska, Zuzanna, et al.
Publicado: (2021)

Stochastic epidemic models with inference
por: Britton, Tom, et al.
Publicado: (2019)

Stochastic processes: inference theory
por: Rao, Malempati M
Publicado: (2014)

Stochastic processes: inference theory
por: Rao, M M
Publicado: (2000)

Statistical inference in stochastic processes
Publicado: (1991)

Approximate Bayesian Inference
por: Alquier, Pierre
Publicado: (2020)

Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state data
por: Klein, Julia, et al.
Publicado: (2023)

Are Narrow Focus Exhaustivity Inferences Bayesian Inferences?
por: Schreiber, Alexander, et al.
Publicado: (2021)

Bayesian analysis of stochastic process models
por: Ríos Insua, David, et al.
Publicado: (2012)

Statistical Detection of EEG Synchrony Using Empirical Bayesian Inference
por: Singh, Archana K., et al.
Publicado: (2015)

Bayesian methods for hackers: probabilistic programming and Bayesian inference
por: Davidson-Pilon, Cameron
Publicado: (2016)

An introduction to Bayesian inference and decision /
por: Winkler, Robert L.
Publicado: (1972)

Bayesian inference with geodetic applications /
por: Koch, Karl-Rudolf
Publicado: (1990)

Cannot write session to /tmp/vufind_sessions/sess_efpthlpu5ddva5g45ql4lqeuh2