Image de couverture de livre

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, Kejin, Sundararajan, Raanju R., Haddad, Michel F. C., Piancastelli, Luiza S. C., Barreto-Souza, Wagner
Format:	Preprint
Publié:	2026
Sujets:	Methodology Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity
par: Piancastelli, Luiza S. C., et autres
Publié: (2024)

Time Series Analysis of Rankings: A GARCH-Type Approach
par: Piancastelli, Luiza, et autres
Publié: (2025)

Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
par: Wang, Zhijian, et autres
Publié: (2025)

Time-Varying Dispersion Integer-Valued GARCH Models
par: Barreto-Souza, Wagner, et autres
Publié: (2022)

Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
par: Campbell, Harlan, et autres
Publié: (2026)

Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
par: Huang, Zhuochao, et autres
Publié: (2026)

Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
par: Sewak, Ainesh, et autres
Publié: (2025)

Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
par: Peng, K. Ken, et autres
Publié: (2026)

Penalized Likelihood Methods for Modeling Count Data
par: Bui, Minh Thu, et autres
Publié: (2021)

Adaptive Penalized Likelihood method for Markov Chains
par: Zhou, Yining, et autres
Publié: (2024)

Bayesian Mapping of Mortality Clusters
par: Sottosanti, Andrea, et autres
Publié: (2024)

Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
par: Pramanik, Sandipan, et autres
Publié: (2025)

Mortality simulations for insured and general populations
par: Nalmpatian, Asmik, et autres
Publié: (2025)

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

Exploring Covid-19 Spatiotemporal Dynamics: Non-Euclidean Spatially Aware Functional Registration
par: Barratt, Luke A., et autres
Publié: (2024)

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
par: Chen, Kevin L., et autres
Publié: (2024)

Semiparametric Modelling of Cancer Mortality Trends in Colombia
par: Buitrago, Lina, et autres
Publié: (2024)

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
par: Li, Changjun, et autres
Publié: (2025)

Network Modeling of Asynchronous Change-Points in Multivariate Time Series
par: McKee, Carson, et autres
Publié: (2025)

Spherically Embedded Time Series with Unknown Trend and Periodic Components
par: Xu, Jiazhen, et autres
Publié: (2026)

Modelling Loss of Complexity in Intermittent Time Series and its Application
par: Li, Jie, et autres
Publié: (2024)

State-Space Modeling of Shape-constrained Functional Time Series
par: Hiraki, Daichi, et autres
Publié: (2024)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
par: Ng, Edwin, et autres
Publié: (2021)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
par: Clark, Samuel J.
Publié: (2026)

Markov-switching State Space Models for Uncovering Musical Interpretation
par: McDonald, Daniel J., et autres
Publié: (2019)

A Unified Bayesian Framework for Mortality Model Selection
par: Diana, Alex, et autres
Publié: (2024)

A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
par: Considine, Ellen M., et autres
Publié: (2025)

Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
par: Dou, Baojun, et autres
Publié: (2025)

A Beta-GAM Hidden Markov Model for Proportion Time Series
par: Nigri, Andrea, et autres
Publié: (2026)

Clustering methods for Categorical Time Series and Sequences : A scoping review
par: Khalifa, Ottavio, et autres
Publié: (2025)

Uncovering dynamics between SARS-CoV-2 wastewater concentrations and community infections via Bayesian spatial functional concurrent regression
par: Sun, Thomas Y., et autres
Publié: (2024)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
par: Govan, Emma, et autres
Publié: (2024)

Maximum Likelihood Estimation for Scaled Inhomogeneous Phase-Type Distributions from Discrete Observations
par: Baltazar-Larios, Fernando, et autres
Publié: (2025)

Advancing Information Integration through Empirical Likelihood: Selective Reviews and a New Idea
par: Chen, Chixiang, et autres
Publié: (2024)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
par: Dashti, S. Ghazaleh, et autres
Publié: (2021)

A Pseudo-likelihood Approach to Under-5 Mortality Estimation
par: Okonek, Taylor, et autres
Publié: (2023)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
par: Ghosh, Shuvrarghya, et autres
Publié: (2025)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
par: Vu, Quan, et autres
Publié: (2024)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)

RESAPLE: An Approximate One-Step Restricted Likelihood Estimator of Spatial Dependence for Exploratory Spatial Analysis
par: Khan, Aditya, et autres
Publié: (2026)