Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach
From MaRDI portal
Publication:5218903
DOI10.1080/00949655.2012.668908zbMath1453.62729OpenAlexW2065029384MaRDI QIDQ5218903
Jakub Stoklosa, Richard M. Huggins
Publication date: 6 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2012.668908
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Related Items (2)
Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error ⋮ Semivarying coefficient models for capture-recapture data: colony size estimation for the little penguin \(Eudyptula minor\)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Smoothing Population Size Estimates for Time-Stratified Mark-Recapture Experiments Using Bayesian P-Splines
- A statistical perspective on ill-posed inverse problems (with discussion)
- Direct generalized additive modeling with penalized likelihood.
- Statistical inference procedure for a hypergeometric model for capture- recapture experiments
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Population size estimation using local sample coverage for open populations.
- On the asymptotics of penalized spline smoothing
- Testing Generalized Linear and Semiparametric Models Against Smooth Alternatives
- Estimation of the Size of an Open Population Using Local Estimating Equations II: A Partially Parametric Approach
- Estimating Population Size for Sparse Data in Capture-Recapture Experiments
- Semiparametric Estimation of Animal Abundance Using Capture-Recapture Data from Open Populations
- Semiparametric Regression in Capture-Recapture Modeling
- Semiparametric Regression
- Estimation of the Size of an Open Population from Capture‐Recapture Data Using Weighted Martingale Methods
- The use of auxiliary variables in capture-recapture modelling: An overview
- Explicit estimates from capture-recapture data with both death and immigration-stochastic model
- Bayesians, Frequentists, and Scientists
- The elements of statistical learning. Data mining, inference, and prediction
- A practical guide to splines.
This page was built for publication: Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach