Asymptotic normality of a conditional hazard function estimate in the single index for quasi-associated data
DOI10.1080/03610926.2018.1549248OpenAlexW2908084864WikidataQ128653658 ScholiaQ128653658MaRDI QIDQ5085594
Zouaoui Chikr Elmezouar, Boubaker Mechab, Daoudi Hamza
Publication date: 27 June 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1549248
asymptotic normalityquasi-associationconditional hazard functionnonparametric kernel estimationsingle-functional index model
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02) Prediction theory (aspects of stochastic processes) (60G25)
Cites Work
- Asymptotic results of a nonparametric conditional cumulative distribution estimator in the single functional index modeling for time series data with applications
- Nonparametric relative regression for associated random variables
- A note on the conditional density estimate in the single functional index model
- Modèle à indice fonctionnel simple. (Single functional index model)
- A new weak dependence condition and applications to moment inequalities
- Conditional hazard estimate for functional random fields
- Nonparametric functional data analysis. Theory and practice.
- Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
- Cross-validated estimations in the single-functional index model
- Hazard function given a functional variable: Non-parametric estimation under strong mixing conditions
- Estimation and simulation of conditional hazard function in the quasi-associated framework when the observations are linked via a functional single-index structure
- Association of Random Variables, with Applications
- Normal approximation for quasi-associated random fields
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