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Araya, H., Bahamonde, N., Fermin, L., Roa, T., & Torres, S. (2023). ON THE CONSISTENCY OF THE LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE RENEWAL CASE. Stat. Sin., 33(1), 1–26.
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Araya, H., Bahamonde, N., Fermin, L., Roa, T., & Torres, S. (2023). ON THE CONSISTENCY OF LEAST SQUARES ESTIMATOR IN MODELS SAMPLED AT RANDOM TIMES DRIVEN BY LONG MEMORY NOISE: THE JITTERED CASE. Stat. Sin., 33(1), 331–351.
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Araya, H., & Plaza-Vega, F. (2023). Parameter estimation for fractional power type diffusion: A hybrid Bayesian-deep learning approach. Commun. Stat.-Theory Methods, Early Access.
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Barrera, J., & Araya, H. (2023). Modeling Chile Fishing Data Using Environmental Exogenous Variables with GARCH-X Model. J. Iran. Stat. Soc., 21(1), 19–35.
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Plaza, F., Araya, H., & Yanez, E. (2023). Environmental effect on the variability of anchovy (Engraulis ringens) in northern Chile: Autoregressive conditional heteroskedastic approach with exogenonus variable and missing values. Fish. Res., 260, 106607.
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Plaza-Vega, F., & Araya, H. (2024). Anchovy (Engraulis ringens) and Pacific sardine (Sardinops sagax) variability changes in northern Chile associated with the environment and inter species synchronicity: GARCH model with exogenous variable and hybrid Bayesian deep learning estimation approach. Prog. Oceanogr., 221, 103190.
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