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(lambda _3) and (lambda _2) determine the strength of the regularization applied to the model time dependence during the entire modelled interval and at the endpoints, respectively.
The parameters λ 3 and λ 2 control the strength of the regularization applied to the model time dependence during the entire modelled interval and at the endpoints, respectively.
Smooth curves are from least-squares fits of exponential plus linear decay, and are used to model time dependence of the HRC-S gain map.
Since our data were taken from a single, cross-sectional survey, we could not model time dependence.
We chose the error term ɛ it to be an autoregressive process with order 1 to model time dependence.
More complex random effects models are available that can model time dependence in the error term by incorporating correlation structures according to different time series models, like autoregressive models (AR) or moving average models (MA) [ 40].
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This event dependence may be acquired or defined by biological characteristics and may be modeled using time-dependent covariates.
Instead, the model should carefully model the time dependence of the voltage generator.
Inclusion of all these data sources, especially the observatory data, combined with a regularised model of time dependence using B-splines have allowed BGS to produce a robust model of the core field over the past 6 years.
Further development of the slip distribution model with time dependence also remains as a goal for future work.
Further development of the slip distribution model with time dependence also remains as a goal for future work. .
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