Inference for the random coefficients bifurcating autoregressive model for cell lineage studies
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Publication:1125527
DOI10.1016/S0378-3758(99)00049-XzbMath0939.62089OpenAlexW2092821660MaRDI QIDQ1125527
Publication date: 3 July 2000
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(99)00049-x
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (3)
A law of large numbers result for a bifurcating process with an infinite moving average representation ⋮ Limit theorems for bifurcating Markov chains. Application to the detection of cellular aging ⋮ Weighted L1-estimates for the First-order Bifurcating Autoregressive Model
Cites Work
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- Random coefficient autoregressive models: an introduction
- On conditional least squares estimation for stochastic processes
- Robust inference for variance components models for single trees of cell lineage data
- On the indentifiability of measurement error in the bifurcating autoregressive model
- The Bifurcating Autoregression Model in Cell Lineage Studies
- ROBUST ANALYSIS OF THE BIFURCATING AUTOREGRESSIVE MODEL IN CELL LINEAGE STUDIES
- Autoregressive series with random parameters
- A Further Note on Stability in a Random Coefficient Model
- Robust Inference for the Bivariate Bifurcating Autoregressive Model
- Variance Components Models for Dependent Cell Populations
- A Reexamination of the Cell-Lineage Data of E. P. Powell
- Stability in a Random Coefficient Model
- Identification in Parametric Models
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