On the Asymptotic Distribution of a Weighted Least Absolute Deviation Estimate for a Bifurcating Autoregressive Process
DOI10.1007/978-3-319-39065-9_5zbMath1366.62179OpenAlexW2523364520MaRDI QIDQ5280261
Publication date: 20 July 2017
Published in: Robust Rank-Based and Nonparametric Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-39065-9_5
asymptotic distributionasymptotic normalitymedianleast absolute deviation estimateL1-estimatesbifurcating autoregressive modelSchweppe weights
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Nonparametric robustness (62G35) Central limit and other weak theorems (60F05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Least-squares estimation for bifurcating autoregressive processes
- A law of large numbers result for a bifurcating process with an infinite moving average representation
- Robust inference for variance components models for single trees of cell lineage data
- Highly efficient weighted for autoregression wilcoxon estimes for autoregression
- Asymptotic normality ofr-estimates in the linear model
- ROBUST ANALYSIS OF THE BIFURCATING AUTOREGRESSIVE MODEL IN CELL LINEAGE STUDIES
- Robust Inference for the Bivariate Bifurcating Autoregressive Model
- Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
- Theory & Methods: Weighted Wilcoxon Estimates for Autoregression
- Non-Gaussian bifurcating models and quasi-likelihood estimation
- Robust Nonparametric Statistical Methods
This page was built for publication: On the Asymptotic Distribution of a Weighted Least Absolute Deviation Estimate for a Bifurcating Autoregressive Process