:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Robben, Jens, Barigou, Karim
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Applications
Accesso online:	https://arxiv.org/abs/2509.24087
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Granular mortality modeling with temperature and epidemic shocks: a three-state regime-switching approach
di: Robben, Jens, et al.
Pubblicazione: (2025)

Bayesian mortality modelling with pandemics: a vanishing jump approach
di: Goes, Julius, et al.
Pubblicazione: (2023)

The short-term association between environmental variables and mortality: evidence from Europe
di: Robben, Jens, et al.
Pubblicazione: (2024)

Mortality Modeling and Forecasting with the Actuaries Climate Index
di: Barigou, Karim, et al.
Pubblicazione: (2025)

A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
di: Briz-Redón, Álvaro, et al.
Pubblicazione: (2025)

Socio-demographic inequalities in the maximum human lifespan
di: Robben, Jens, et al.
Pubblicazione: (2026)

Geographical inequalities in mortality by age and gender in Italy, 2002-2019: insights from a spatial extension of the Lee-Carter model
di: Fiori, Francesca, et al.
Pubblicazione: (2025)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
di: Nigri, Andrea, et al.
Pubblicazione: (2026)

Modelling and short-term forecasting of seasonal mortality
di: Leger, Ainhoa-Elena, et al.
Pubblicazione: (2025)

A unifying modelling approach for hierarchical distributed lag models
di: Economou, Theo, et al.
Pubblicazione: (2024)

Smooth and shape-constrained quantile distributed lag models
di: Jin, Yisen, et al.
Pubblicazione: (2024)

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
di: Lam, Ka Kin, et al.
Pubblicazione: (2021)

Compositional data analysis for modelling and forecasting mortality using the α-transformation
di: Lim, Han Ying, et al.
Pubblicazione: (2025)

A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
di: Diao, Tingting, et al.
Pubblicazione: (2025)

Automated lag-selection for multi-step univariate time series forecast using Bayesian Optimization: Forecast station-wise monthly rainfall of nine divisional cities of Bangladesh
di: Rahman, Rezoanoor, et al.
Pubblicazione: (2024)

Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients
di: Pavone, Federico, et al.
Pubblicazione: (2022)

Probabilistic skill of statistically downscaled ECMWF S2S forecasts of maximum and minimum temperatures for weeks 1–4 over South Africa
di: Steven Phakula, et al.
Pubblicazione: (2024)

Modeling and forecasting age-specific drug overdose mortality in the United States
di: Böttcher, Lucas, et al.
Pubblicazione: (2023)

Coherent forecast combination for linearly constrained multiple time series
di: Girolimetto, Daniele, et al.
Pubblicazione: (2024)

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
di: Lam, Ka Kin, et al.
Pubblicazione: (2021)

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods
di: Mayer, Martin János, et al.
Pubblicazione: (2025)

Multivariate longitudinal modeling of cross-sectional and lagged associations between a continuous time-varying endogenous covariate and a non-Gaussian outcome
di: Degan, Chiara, et al.
Pubblicazione: (2025)

Multi‐site collaborative forecasting of regional visibility based on spatiotemporal convolutional network
di: Wei Tian, et al.
Pubblicazione: (2024)

Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions
di: Leutbecher, Martin, et al.
Pubblicazione: (2024)

Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models
di: MacArthur, Isaac, et al.
Pubblicazione: (2026)

Modeling and forecasting subnational age distribution of death counts
di: Shang, Han Lin, et al.
Pubblicazione: (2025)

Robust distribution-free tests for the linear model
di: Hilbert, Torey, et al.
Pubblicazione: (2024)

Probabilistic forecasting of weather-driven faults in electricity networks: a flexible approach for extreme and non-extreme events
di: Maia, Mateus, et al.
Pubblicazione: (2026)

Early warning of Mpox outbreaks in U.S. jurisdictions using Lasso Vector Autoregression models with cross-jurisdictional lags
di: Craddock, Hannah, et al.
Pubblicazione: (2026)

Mitigating against the between‐ensemble‐member precipitation bias in a lagged sub‐seasonal ensemble
di: Marion Mittermaier, et al.
Pubblicazione: (2024)

Energy, economy, and emissions: A non-linear state space approach to projections
di: Bennedsen, Mikkel, et al.
Pubblicazione: (2023)

Study and application on the optimal quantile forecast of precipitation in an ensemble forecast system
di: Lianglyu Chen, et al.
Pubblicazione: (2024)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
di: St-Pierre, Julien, et al.
Pubblicazione: (2025)

Improved Disease Outbreak Detection from Out-of-sequence measurements Using Markov-switching Fixed-lag Particle Filters
di: Rosato, Conor, et al.
Pubblicazione: (2025)

Multilevel non-linear interrupted time series analysis
di: Waken, RJ, et al.
Pubblicazione: (2025)

evalprob4cast: An R-package for evaluation of ensembles as probabilistic forecasts or event forecasts
di: Bjerregård, Mathias Blicher, et al.
Pubblicazione: (2025)

A stochastic approach to estimate distribution grid state with confidence regions
di: Olsen, Rasmus L., et al.
Pubblicazione: (2024)

Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
di: Mai, The Tien
Pubblicazione: (2025)

tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
di: Thorson, James T., et al.
Pubblicazione: (2024)

AI and physics-based weather forecasting: A comparative study
di: Kocsis, Mátyás, et al.
Pubblicazione: (2026)