A new linearized ridge Poisson estimator in the presence of multicollinearity
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DOI: 10.1080/02664763.2021.1887103
Abstract: Poisson regression is a very commonly used technique for modeling the count data in applied sciences, in which the model parameters are usually estimated by the maximum likelihood method. However, ... read more here.
Keywords: new linearized; poisson; estimator presence; ridge poisson ... See more keywords
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2021.1917420
Abstract: Abstract Speeding up Markov chain Monte Carlo (MCMC) for datasets with many observations by data subsampling has recently received considerable attention. A pseudo-marginal MCMC method is proposed that estimates the likelihood by data subsampling using… read more here.
Keywords: block poisson; mcmc; estimator; poisson estimator ... See more keywords