Estimation of general time-varying single particle tracking linear models using local likelihood

BI Godoy, NA Vickers, Y Lin… - 2020 European Control …, 2020 - ieeexplore.ieee.org
In this work, we study a general approach to the estimation of single particle tracking models
with time-varying parameters. The main idea is to use local Maximum Likelihood (ML) …
被引用次数：6 相关文章

Estimation of general time-varying single particle tracking linear models using local likelihood

BI Godoy, NA Vickers, Y Lin… - Control Conference …, 2020 - pubmed.ncbi.nlm.nih.gov
In this work, we study a general approach to the estimation of single particle tracking models
with time-varying parameters. The main idea is to use local Maximum Likelihood (ML) …
[HTML] nih.gov

[HTML][HTML] Estimation of general time-varying single particle tracking linear models using local likelihood

BI Godoy, NA Vickers, Y Lin… - Control Conference (ECC …, 2020 - ncbi.nlm.nih.gov
In this work, we study a general approach to the estimation of single particle tracking models
with time-varying parameters. The main idea is to use local Maximum Likelihood (ML) …

Estimation of general time-varying single particle tracking linear models using local likelihood.

BI Godoy, NA Vickers, Y Lin… - Control Conference (ECC …, 2020 - europepmc.org
In this work, we study a general approach to the estimation of single particle tracking models
with time-varying parameters. The main idea is to use local Maximum Likelihood (ML) …
[PDF] researchgate.net

[PDF][PDF] Estimation of general time-varying single particle tracking linear models using local likelihood

BI Godoy, NA Vickers, Y Lin, SB Andersson - researchgate.net
In this work, we study a general approach to the estimation of single particle tracking models
with timevarying parameters. The main idea is to use local Maximum Likelihood (ML) …
[PDF] researchgate.net

[PDF][PDF] Estimation of general time-varying single particle tracking linear models using local likelihood

BI Godoy, NA Vickers, Y Lin, SB Andersson - researchgate.net
In this work, we study a general approach to the estimation of single particle tracking models
with timevarying parameters. The main idea is to use local Maximum Likelihood (ML) …