Copertina

Assessing the informative value of macroeconomic indicators for public health forecasting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chakraborty, Shome, Khan, Fardil, Ghosal, Soutik
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Applications Machine Learning 62M10 (Primary), 62H30 (Secondary)
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Establishing Validity for Distance Functions and Internal Clustering Validity Indices in Correlation Space
di: Degen, Isabella, et al.
Pubblicazione: (2025)

Why decision curves go above or below treat-all and treat-none: a PPV- and calibration-based guide for clinical prediction models
di: Hoessly, Linard
Pubblicazione: (2026)

Spatio-Temporal Jump Model for Urban Thermal Comfort Monitoring
di: Cortese, Federico P., et al.
Pubblicazione: (2024)

Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
di: Hyun, Sangwon, et al.
Pubblicazione: (2025)

Clustering Multivariate Time Series using Energy Distance
di: Davis, Richard A., et al.
Pubblicazione: (2023)

Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
di: Liu, Zhongmao, et al.
Pubblicazione: (2025)

Statistical Jump Model for Mixed-Type Data with Missing Data Imputation
di: Cortese, Federico P., et al.
Pubblicazione: (2024)

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients
di: Preedasawakul, Onthada, et al.
Pubblicazione: (2025)

A comparison between initialization strategies for the infinite hidden Markov model
di: Cortese, Federico P., et al.
Pubblicazione: (2025)

Scalable Posterior Uncertainty for Flexible Density-Based Clustering
di: Bariletto, Nicola, et al.
Pubblicazione: (2026)

Time Aggregation Features for XGBoost Models
di: Pinchuk, Mykola
Pubblicazione: (2026)

On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting
di: Verma, Victor, et al.
Pubblicazione: (2024)

Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
di: Zhang, Likun, et al.
Pubblicazione: (2023)

Bayesian Benefit-Risk Assessment with Dependent Outcomes via Latent Factor Models
di: Vamvourellis, Konstantinos, et al.
Pubblicazione: (2022)

Comparative Analysis of Spatiotemporal Volatility Models: An Empirical Study on Financial Network Series
di: Chrisko, Ariane N. Meli, et al.
Pubblicazione: (2026)

Seasonal and Periodic Patterns in US COVID-19 Mortality using the Variable Bandpass Periodic Block Bootstrap
di: Valachovic, Edward, et al.
Pubblicazione: (2024)

Periodicity in New York State COVID-19 Hospitalizations Leveraged from the Variable Bandpass Periodic Block Bootstrap
di: Ahmad, Asmaa, et al.
Pubblicazione: (2024)

A Bayesian cluster validity index
di: Wiroonsri, Nathakhun, et al.
Pubblicazione: (2024)

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

Evaluating the role of correlation among markers in prediction models
di: Sabroso-Lasa, Sergio, et al.
Pubblicazione: (2026)

A Two-Stage Bayesian Framework for Multi-Fidelity Online Updating of Spatial Fragility Fields
di: Braik, Abdullah M., et al.
Pubblicazione: (2026)

Supervised Time Series Classification for Anomaly Detection in Subsea Engineering
di: Çokaj, Ergys, et al.
Pubblicazione: (2024)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
di: Lee, JoonHo
Pubblicazione: (2026)

Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies
di: Härkönen, Teemu, et al.
Pubblicazione: (2023)

Club Exco: clustering brain extreme communities from multi-channel EEG data
di: Guerrero, Matheus B., et al.
Pubblicazione: (2022)

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
di: Mostafa, Fahad, et al.
Pubblicazione: (2025)

Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes
di: Gräfensteiner, Phillip, et al.
Pubblicazione: (2024)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
di: Rodeschini, Jacopo, et al.
Pubblicazione: (2025)

Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
di: Arifin, Wan Nor, et al.
Pubblicazione: (2025)

Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics
di: Soto, Juan L. P.
Pubblicazione: (2024)

Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
di: Hwang, Youngdeok, et al.
Pubblicazione: (2021)

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost
di: Moorthy, Padmavathi
Pubblicazione: (2025)

Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
di: Wells, Lennie, et al.
Pubblicazione: (2024)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
di: Slessor, Jordan, et al.
Pubblicazione: (2024)

Stable and consistent density-based clustering via multiparameter persistence
di: Rolle, Alexander, et al.
Pubblicazione: (2020)

On Testing Kronecker Product Structure in Tensor Factor Models
di: Cen, Zetai, et al.
Pubblicazione: (2025)

Identification and Estimation of Multi-order Tensor Factor Models
di: Cen, Zetai
Pubblicazione: (2025)

Bivariate generalized autoregressive models for forecasting bivariate non-Gaussian times series
di: Ribeiro, Tatiane Fontana, et al.
Pubblicazione: (2025)

Gaussian mixture models in Hilbert spaces via kernel methods
di: López-Montero, Daniel, et al.
Pubblicazione: (2026)

Multiscale Autoregression on Adaptively Detected Timescales
di: Baranowski, Rafal, et al.
Pubblicazione: (2024)