Imagen de Portada

A dynamic latent space time series model to assess the spread of mumps in England

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kaur, Hardeep, Rastelli, Riccardo
Formato:	Preprint
Publicado:	2024
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A latent space model for multivariate count data time series analysis
por: Kaur, Hardeep, et al.
Publicado: (2024)

Green Finance and Carbon Emissions: A Nonlinear and Interaction Analysis Using Bayesian Additive Regression Trees
por: Zhu, Mengxiang, et al.
Publicado: (2025)

A Zero-Inflated Poisson Latent Position Cluster Model
por: Lu, Chaoyi, et al.
Publicado: (2025)

A statistical approach to latent dynamic modeling with differential equations
por: Hackenberg, Maren, et al.
Publicado: (2023)

Summarising mortality data with a time-dependent beta latent variable model
por: de Araújo, Pedro Menezes, et al.
Publicado: (2026)

Bayesian Additive Regression Trees (BART) in Food Authenticity: A Classification Approach to Food Fraud Detection
por: Zhu, Mengxiang, et al.
Publicado: (2025)

Finite element model updating of building structures under seismic excitation: A parallelized latent space-based Bayesian framework
por: Yaoyama, Taro, et al.
Publicado: (2026)

Time series on compact spaces, with an application to dynamic modeling of relative abundance data in Ecology
por: Franchi, Guillaume, et al.
Publicado: (2023)

Youthful perspectives on sustainability: Examining pro-environmental behaviors in tourism through latent class cluster analysis
por: Serio, Riccardo Gianluigi, et al.
Publicado: (2025)

Functional structural equation modeling with latent variables
por: Asgari, Fatemeh, et al.
Publicado: (2024)

A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat
por: Kunst, Jonathan F., et al.
Publicado: (2026)

Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration
por: Birrell, Paul J, et al.
Publicado: (2024)

A latent variable model for identifying and characterizing food adulteration
por: Casa, Alessandro, et al.
Publicado: (2025)

Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
por: Williams, Jonathan P, et al.
Publicado: (2021)

Do financial regulators act in the public's interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises
por: Sharma, Padma, et al.
Publicado: (2022)

Joint species distribution modeling of abundance data through latent variable barcodes
por: Scherting, Braden, et al.
Publicado: (2024)

A model-free feature extraction procedure for interval-valued time series prediction
por: Tian, Wan, et al.
Publicado: (2025)

Comparison of global sensitivity analysis methods for a fire spread model with a segmented characteristic
por: Chen, Shi-Shun, et al.
Publicado: (2024)

Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
por: Wang, Zhongzheng, et al.
Publicado: (2024)

COVID-19 incidence in the Republic of Ireland: A case study for network-based time series models
por: Armbruster, Stephanie, et al.
Publicado: (2023)

A brief introduction on latent variable based ordinal regression models with an application to survey data
por: Wieditz, Johannes, et al.
Publicado: (2023)

Using dynamic foodscape models to assess bottom‐up constraints on population performance of herbivores
por: Sierra L. Robatcek, et al.
Publicado: (2025)

Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood
por: Bartolucci, Francesco, et al.
Publicado: (2008)

Uncertainty assessment of spatial dynamic microsimulations
por: Dumont, Morgane, et al.
Publicado: (2025)

A marginalized three-part interrupted time series regression model for proportional data
por: Ye, Shangyuan, et al.
Publicado: (2022)

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

A switching state-space transmission model for tracking epidemics and assessing interventions
por: Feng, Jingxue, et al.
Publicado: (2023)

Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
por: Gallegos-Herrada, Marco A., et al.
Publicado: (2026)

Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
por: May, Paul B., et al.
Publicado: (2025)

Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
por: Spreafico, Marta, et al.
Publicado: (2021)

Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
por: Douwes-Schultz, Dirk, et al.
Publicado: (2024)

Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
por: Wang, Guanbo, et al.
Publicado: (2022)

Uncovering latent territorial structure in ICFES Saber 11 performance with Bayesian multilevel spatial models
por: Pardo, Laura, et al.
Publicado: (2025)

Dispersal can spread management benefits: Insights from a modeled Fijian coral reef network
por: Ariel Greiner, et al.
Publicado: (2025)

Bayesian weighted discrete-time dynamic models for association football prediction
por: Macrì-Demartino, Roberto, et al.
Publicado: (2025)

A robust Bayesian latent position approach for community detection in networks with continuous attributes
por: Jin, Zhumengmeng, et al.
Publicado: (2022)

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
por: Castillo-Mateo, Jorge, et al.
Publicado: (2025)

How social networks influence human behavior: An integrated latent space approach for differential social influence
por: Park, Jina, et al.
Publicado: (2021)

Multivariate reconciliation for hierarchical time series
por: Pinheiro, Ana Caroline, et al.
Publicado: (2026)

On decision-theoretic model assessment for structural deterioration monitoring
por: Silionis, Nicholas E., et al.
Publicado: (2024)