Mortality Forecasting as a Flow Field in Tucker Decomposition Space
Fuente:
arXiv
Guardado en:
| Autor principal: | Clark, Samuel J. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
por: Clark, Samuel J.
Publicado: (2026)
por: Clark, Samuel J.
Publicado: (2026)
Bayesian Adaptive Tucker Decompositions for Tensor Factorization
por: Stolf, Federica, et al.
Publicado: (2024)
por: Stolf, Federica, et al.
Publicado: (2024)
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
por: Sandler, Adam, et al.
Publicado: (2019)
por: Sandler, Adam, et al.
Publicado: (2019)
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
por: Hu, Jiuyun, et al.
Publicado: (2023)
por: Hu, Jiuyun, et al.
Publicado: (2023)
Tucker tensor factor models: matricization and mode-wise PCA estimation
por: Zhang, Xu, et al.
Publicado: (2022)
por: Zhang, Xu, et al.
Publicado: (2022)
Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition
por: Gomez, Yolanda, et al.
Publicado: (2024)
por: Gomez, Yolanda, et al.
Publicado: (2024)
Tucker Diffusion Model for High-dimensional Tensor Generation
por: Guo, Jianhua, et al.
Publicado: (2026)
por: Guo, Jianhua, et al.
Publicado: (2026)
Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
por: Roy, Arkaprava, et al.
Publicado: (2026)
por: Roy, Arkaprava, et al.
Publicado: (2026)
Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
por: Roy, Arkaprava, et al.
Publicado: (2025)
por: Roy, Arkaprava, et al.
Publicado: (2025)
Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy Sector
por: Neubauer, Lukas, et al.
Publicado: (2024)
por: Neubauer, Lukas, et al.
Publicado: (2024)
Peak Inference for Gaussian Random Fields on a Lattice
por: Lin, Tuo, et al.
Publicado: (2025)
por: Lin, Tuo, et al.
Publicado: (2025)
A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
por: Shen, Andy A., et al.
Publicado: (2024)
por: Shen, Andy A., et al.
Publicado: (2024)
Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
por: Li, Zehang Richard, et al.
Publicado: (2020)
por: Li, Zehang Richard, et al.
Publicado: (2020)
Oblivious subspace embeddings for compressed Tucker decompositions
por: Pietrosanu, Matthew, et al.
Publicado: (2024)
por: Pietrosanu, Matthew, et al.
Publicado: (2024)
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
por: Wu, Dongze, et al.
Publicado: (2025)
por: Wu, Dongze, et al.
Publicado: (2025)
Bayesian Mapping of Mortality Clusters
por: Sottosanti, Andrea, et al.
Publicado: (2024)
por: Sottosanti, Andrea, et al.
Publicado: (2024)
State Space Modeling of Mortgage Default Rates under Natural Hazard Shocks
por: Eschker, Samuel J., et al.
Publicado: (2025)
por: Eschker, Samuel J., et al.
Publicado: (2025)
Mortality simulations for insured and general populations
por: Nalmpatian, Asmik, et al.
Publicado: (2025)
por: Nalmpatian, Asmik, et al.
Publicado: (2025)
Precise FWER Control for Gaussian Related Fields: Riding the SuRF to continuous land -- Part 1
por: Telschow, Fabian JE, et al.
Publicado: (2023)
por: Telschow, Fabian JE, et al.
Publicado: (2023)
Semiparametric Modelling of Cancer Mortality Trends in Colombia
por: Buitrago, Lina, et al.
Publicado: (2024)
por: Buitrago, Lina, et al.
Publicado: (2024)
Partial Information Rate Decomposition
por: Faes, Luca, et al.
Publicado: (2025)
por: Faes, Luca, et al.
Publicado: (2025)
Principal Decomposition with Nested Submanifolds
por: Su, Jiaji, et al.
Publicado: (2025)
por: Su, Jiaji, et al.
Publicado: (2025)
A Unified Bayesian Framework for Mortality Model Selection
por: Diana, Alex, et al.
Publicado: (2024)
por: Diana, Alex, et al.
Publicado: (2024)
Generalized Decomposition Priors on R2
por: Aguilar, Javier Enrique, et al.
Publicado: (2024)
por: Aguilar, Javier Enrique, et al.
Publicado: (2024)
Nonparametric estimation of a state entry time distribution conditional on a "past" state occupation in a progressive multistate model with current status data
por: Anyaso-Samuel, Samuel, et al.
Publicado: (2024)
por: Anyaso-Samuel, Samuel, et al.
Publicado: (2024)
Decomposition with Monotone B-splines: Fitting and Testing
por: Wang, Lijun, et al.
Publicado: (2024)
por: Wang, Lijun, et al.
Publicado: (2024)
Causal Variance Decompositions for Measuring Health Inequalities
por: Yu, Lin, et al.
Publicado: (2025)
por: Yu, Lin, et al.
Publicado: (2025)
A Pseudo-likelihood Approach to Under-5 Mortality Estimation
por: Okonek, Taylor, et al.
Publicado: (2023)
por: Okonek, Taylor, et al.
Publicado: (2023)
Matrix Decomposition-Based Approach to Estimate the STARTS Model
por: Usami, Satoshi
Publicado: (2026)
por: Usami, Satoshi
Publicado: (2026)
Estimation Strategies for Causal Decomposition Analysis with Allowability Specifications
por: Jackson, John W., et al.
Publicado: (2026)
por: Jackson, John W., et al.
Publicado: (2026)
Adjacency Matrix Decomposition Clustering for Human Activity Data
por: Barnard, Martha, et al.
Publicado: (2024)
por: Barnard, Martha, et al.
Publicado: (2024)
Online Changepoint Detection via Dynamic Mode Decomposition
por: Khamesi, Victor K., et al.
Publicado: (2024)
por: Khamesi, Victor K., et al.
Publicado: (2024)
Billions-Scale Forecast Reconciliation
por: Wang, Tianyu, et al.
Publicado: (2026)
por: Wang, Tianyu, et al.
Publicado: (2026)
Nonlinear Probabilistic Forecast Reconciliation
por: Biswas, Anubhab, et al.
Publicado: (2026)
por: Biswas, Anubhab, et al.
Publicado: (2026)
Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student drop out study in math
por: Kelava, Augustin, et al.
Publicado: (2021)
por: Kelava, Augustin, et al.
Publicado: (2021)
Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
por: Rubio, Mateo Dulce, et al.
Publicado: (2026)
por: Rubio, Mateo Dulce, et al.
Publicado: (2026)
Nonparametric Causal Decomposition of Group Disparities
por: Yu, Ang, et al.
Publicado: (2023)
por: Yu, Ang, et al.
Publicado: (2023)
Decomposition-Based Intrinsic Modeling of Shape-Constrained Functional Data
por: Kundu, Poorbita, et al.
Publicado: (2024)
por: Kundu, Poorbita, et al.
Publicado: (2024)
Time Series Forecasting with Many Predictors
por: Huang, Shuo-Chieh, et al.
Publicado: (2024)
por: Huang, Shuo-Chieh, et al.
Publicado: (2024)
Forecasting mortality rates with functional signatures
por: Yap, Zhong Jing, et al.
Publicado: (2024)
por: Yap, Zhong Jing, et al.
Publicado: (2024)
Ejemplares similares
-
Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
por: Clark, Samuel J.
Publicado: (2026) -
Bayesian Adaptive Tucker Decompositions for Tensor Factorization
por: Stolf, Federica, et al.
Publicado: (2024) -
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
por: Sandler, Adam, et al.
Publicado: (2019) -
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
por: Hu, Jiuyun, et al.
Publicado: (2023) -
Tucker tensor factor models: matricization and mode-wise PCA estimation
por: Zhang, Xu, et al.
Publicado: (2022)