Spline-based semiparametric estimation of partially linear Poisson regression with single-index models

DOI10.1080/10485252.2013.817576zbMath1416.62639OpenAlexW1981305901WikidataQ57200718 ScholiaQ57200718MaRDI QIDQ2863058

Dana Loomis, Minggen Lu

Publication date: 21 November 2013

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2013.817576

zbMATH Keywords

Monte CarloPoisson regression\(B\)-splinesingle-index modellikelihood estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to environmental and related topics (62P12)

Related Items (9)

Spline-based semiparametric estimation of a zero-inflated Poisson regression single-index model ⋮ A lack-of-fit test for generalized linear models via single-index techniques ⋮ Efficient estimation of quasi-likelihood models using \(B\)-splines ⋮ Efficient estimation of partially linear additive Cox model under monotonicity constraint ⋮ Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index ⋮ Spline-based quasi-likelihood estimation of mixed Poisson regression with single-index models ⋮ Fitting Cox Models with Doubly Censored Data Using Spline-Based Sieve Marginal Likelihood ⋮ Spline estimation of generalised monotonic regression ⋮ Semiparametric zero-inflated Bernoulli regression with applications

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