Imagen de Portada

A State-Space Approach to Modeling Tire Degradation in Formula 1 Racing

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cappello, Cole, Hoegh, Andrew
Formato:	Preprint
Publicado:	2025
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Benchmarking Formula 1 results using a normal model
por: Fry, John, et al.
Publicado: (2026)

An Observation-Driven State-Space Model for Claims Size Modeling
por: Ahn, Jae Youn, et al.
Publicado: (2024)

Analyzing Breast Cancer Survival Disparities by Race and Demographic Location: A Survival Analysis Approach
por: Farha, Ramisa, et al.
Publicado: (2025)

State-Space Representation of INGARCH Models and Their Application in Insurance
por: Ahn, Jae Youn, et al.
Publicado: (2025)

Markov-switching State Space Models for Uncovering Musical Interpretation
por: McDonald, Daniel J., et al.
Publicado: (2019)

State-Space Modeling of Shape-constrained Functional Time Series
por: Hiraki, Daichi, et al.
Publicado: (2024)

Factor State Space Modelling of the Ornstein-Uhlenbeck Process with Measurement Error and its Application
por: Li, Shanglun, et al.
Publicado: (2026)

An Analysis of Pacing Profiles in Sprint Kayak Racing Using Functional Principal Components and Hidden Markov Models
por: Estreich, Harry, et al.
Publicado: (2024)

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

How Proxy Race Distorts Regression-Based Fairness Audits
por: Xin, Xi, et al.
Publicado: (2026)

What Quality Engineers Need to Know about Degradation Models
por: Clark, Jared M., et al.
Publicado: (2025)

VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models
por: Brindle, Benjamin, et al.
Publicado: (2024)

A State-Space Perspective on Modelling and Inference for Online Skill Rating
por: Duffield, Samuel, et al.
Publicado: (2023)

Evaluating the Predictive Power of Qualifying Performance in Formula One Grand Prix
por: Weissbock, Joshua, et al.
Publicado: (2025)

Principled Frequentist Estimation of Racial Disparity in Credit Approval under Unobserved Race
por: Fisher, Sam, et al.
Publicado: (2025)

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection
por: Truong-Ba, Huy, et al.
Publicado: (2023)

Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
por: de Beer, Alex, et al.
Publicado: (2024)

Estimating Racial Disparities When Race is Not Observed
por: McCartan, Cory, et al.
Publicado: (2023)

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

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
por: Xu, Tianchen, et al.
Publicado: (2023)

State-dependent marginal emission factors with autoregressive components
por: Panico, Antonio, et al.
Publicado: (2026)

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration
por: Ghosh, Sujit K., et al.
Publicado: (2024)

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

Characterization of Degradation and Damage Coefficient of Ga‐Doped PERC Space Solar Cells Under 1 MeV Electron Irradiation
por: Ning Yang, et al.
Publicado: (2025)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
por: Lin, Zhengzhi, et al.
Publicado: (2025)

Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
por: Montreuil, Yannis, et al.
Publicado: (2026)

A Bayesian Approach for Earthquake Impact Modelling
por: Loake, Max Anderson, et al.
Publicado: (2024)

Latent Space-based Stochastic Model Updating
por: Lee, Sangwon, et al.
Publicado: (2024)

Modeling Discrete Coating Degradation Events via Hawkes Processes
por: Repasky, Matthew, et al.
Publicado: (2025)

Reliability Modeling of Single-Sided Aluminized Polyimide Films during Storage Considering Stress-Induced Degradation Mechanism Transition
por: Chen, Shi-Shun, et al.
Publicado: (2026)

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems
por: Sandra Riaño, et al.
Publicado: (2026)

A State Model for the Analysis of Stem Cell Proliferation and Differentiation
por: Bar, Haim, et al.
Publicado: (2025)

Parameters Evolution in Source-Sink Space Population Evolutionary Models
por: Ashley, Erin, et al.
Publicado: (2024)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
por: Plecko, Drago, et al.
Publicado: (2025)

An Algebraic Approach to Evolutionary Accumulation Models
por: Renz, Jessica, et al.
Publicado: (2025)

Joint Parameter and State Estimation for Input‐Nonlinear State‐Space Models With Random Data Missing Based on Kalman Smoothing
por: Junxia Ma, et al.
Publicado: (2025)

Bayesian Analysis of Hotel Booking Cancellations: A Hierarchical Modeling Approach
por: Yang, Yingdong
Publicado: (2025)

The Letov Formula for Bounded Real Systems
por: L. Fortuna, et al.
Publicado: (2025)