:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cappello, Cole, Hoegh, Andrew
Format:	Preprint
Publié:	2025
Sujets:	Applications
Accès en ligne:	https://arxiv.org/abs/2512.00640
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predicting Formula 1 Race Outcomes: Decomposing the Roles of Drivers and Constructors through Linear Modeling
par: Rane, Saurabh
Publié: (2025)

Statistical Analysis of the Impact of FIA Regulations on Safety, Racing Dynamics, and Spectacle in Formula 1
par: Belgaid, Abdelghani
Publié: (2024)

Benchmarking Formula 1 results using a normal model
par: Fry, John, et autres
Publié: (2026)

Analyzing Breast Cancer Survival Disparities by Race and Demographic Location: A Survival Analysis Approach
par: Farha, Ramisa, et autres
Publié: (2025)

An Observation-Driven State-Space Model for Claims Size Modeling
par: Ahn, Jae Youn, et autres
Publié: (2024)

State-Space Representation of INGARCH Models and Their Application in Insurance
par: Ahn, Jae Youn, et autres
Publié: (2025)

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

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

How Proxy Race Distorts Regression-Based Fairness Audits
par: Xin, Xi, et autres
Publié: (2026)

An Analysis of Pacing Profiles in Sprint Kayak Racing Using Functional Principal Components and Hidden Markov Models
par: Estreich, Harry, et autres
Publié: (2024)

A State-Space Perspective on Modelling and Inference for Online Skill Rating
par: Duffield, Samuel, et autres
Publié: (2023)

Competitiveness of Formula 1 championship from 2012 to 2022 as measured by Kendall corrected evolutive coefficient
par: Pedroche, Francisco
Publié: (2024)

Factor State Space Modelling of the Ornstein-Uhlenbeck Process with Measurement Error and its Application
par: Li, Shanglun, et autres
Publié: (2026)

What Quality Engineers Need to Know about Degradation Models
par: Clark, Jared M., et autres
Publié: (2025)

VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models
par: Brindle, Benjamin, et autres
Publié: (2024)

Evaluating the Predictive Power of Qualifying Performance in Formula One Grand Prix
par: Weissbock, Joshua, et autres
Publié: (2025)

Principled Frequentist Estimation of Racial Disparity in Credit Approval under Unobserved Race
par: Fisher, Sam, et autres
Publié: (2025)

Estimating Racial Disparities When Race is Not Observed
par: McCartan, Cory, et autres
Publié: (2023)

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
par: Lotspeich, Sarah C., et autres
Publié: (2025)

Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
par: de Beer, Alex, et autres
Publié: (2024)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
par: Xu, Tianchen, et autres
Publié: (2023)

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection
par: Truong-Ba, Huy, et autres
Publié: (2023)

A Bayesian Multi-State Data Integration Approach for Estimating County-level Prevalence of Opioid Misuse in the United States
par: Feng, Zixuan, et autres
Publié: (2026)

Characterization of Degradation and Damage Coefficient of Ga‐Doped PERC Space Solar Cells Under 1 MeV Electron Irradiation
par: Ning Yang, et autres
Publié: (2025)

State-dependent marginal emission factors with autoregressive components
par: Panico, Antonio, et autres
Publié: (2026)

Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
par: Montreuil, Yannis, et autres
Publié: (2026)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
par: Plecko, Drago, et autres
Publié: (2025)

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration
par: Ghosh, Sujit K., et autres
Publié: (2024)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
par: Lin, Zhengzhi, et autres
Publié: (2025)

The Letov Formula for Bounded Real Systems
par: L. Fortuna, et autres
Publié: (2025)

Modeling Discrete Coating Degradation Events via Hawkes Processes
par: Repasky, Matthew, et autres
Publié: (2025)

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems
par: Sandra Riaño, et autres
Publié: (2026)

A Bayesian Approach for Earthquake Impact Modelling
par: Loake, Max Anderson, et autres
Publié: (2024)

Latent Space-based Stochastic Model Updating
par: Lee, Sangwon, et autres
Publié: (2024)

Joint Parameter and State Estimation for Input‐Nonlinear State‐Space Models With Random Data Missing Based on Kalman Smoothing
par: Junxia Ma, et autres
Publié: (2025)

Reliability Modeling of Single-Sided Aluminized Polyimide Films during Storage Considering Stress-Induced Degradation Mechanism Transition
par: Chen, Shi-Shun, et autres
Publié: (2026)

Deep Learning for Forensic Identification of Source
par: Patten, Cole, et autres
Publié: (2025)

The Hidden AI Race: Tracking Environmental Costs of Innovation
par: Agarwal, Shyam, et autres
Publié: (2025)

Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation
par: Cusick, Marika M., et autres
Publié: (2024)

Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching
par: Xu, Xiuqin, et autres
Publié: (2021)