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Cited article:

Sensitivity analysis of error-contaminated time series data under autoregressive models with the application of COVID-19 data

Qihuang Zhang and Grace Y. Yi
Journal of Applied Statistics 50 (7) 1611 (2023)
https://doi.org/10.1080/02664763.2022.2034760

Testing for measurement error in regression with autoregressive innovations

Himanshu Pokhriyal and N. Balakrishna
Communications in Statistics - Simulation and Computation 52 (5) 1834 (2023)
https://doi.org/10.1080/03610918.2021.1891430

Contrast estimation for noisy observations of diffusion processes via closed-form density expansions

Salima El Kolei and Fabien Navarro
Statistical Inference for Stochastic Processes 25 (2) 303 (2022)
https://doi.org/10.1007/s11203-021-09256-2

Parametric estimation of hidden Markov models by least squares type estimation and deconvolution

Christophe Chesneau, Salima El Kolei and Fabien Navarro
Statistical Papers 63 (5) 1615 (2022)
https://doi.org/10.1007/s00362-022-01288-x

Parametric inference of autoregressive heteroscedastic models with errors in variables

Salima El Kolei and Florian Pelgrin
Statistics & Probability Letters 130 63 (2017)
https://doi.org/10.1016/j.spl.2017.07.011

Incorporating measurement error in n = 1 psychological autoregressive modeling

Noémi K. Schuurman, Jan H. Houtveen and Ellen L. Hamaker
Frontiers in Psychology 6 (2015)
https://doi.org/10.3389/fpsyg.2015.01038