Your English writing platform
Free sign upSuggestions(5)
Exact(22)
We consider other possible methods for inference and show that our primary model outperforms the alternatives.
He specializes in econometrics, and his research develops robust methods for inference on causal or structural relationships using economic data.
This paper develops econometric methods for inference and prediction in quantile regression (QR) allowing for persistent predictors.
Sampling and variational inference techniques are two standard methods for inference in probabilistic models, but for many problems, neither approach scales effectively to large-scale data.
This paper's main contribution is to propose and theoretically justify the application of bootstrap methods for inference in autoregressive panel data models with fixed effects.
We present a set of SMC methods for inference of latent time-series with non-i.i.d.
Similar(38)
Details of the proposed SMC method for inference of latent ARMA models with correlated innovations follows.
We aim at modeling time-series with diverse memory properties in a unified manner so that a method for inference of heterogeneous time-varying data can be proposed.
We first present an SMC method for inference of an ARMA process with correlated innovations, when the ARMA parameters, i.e., θ=(a 1 a 2 ⋯ a p b 1 b 2 ⋯ b q )⊤, are known.
Thus the price for having a robust method for inference of recombination that does not heavily rely on single entries in the total database is that some recombination instances may slip through the sieve of secondary classification.
We therefore introduce a different method for inference based on likelihood.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com