Estimation methods form the backbone of statistical inference, allowing researchers to infer unknown parameters from observed data. Classical approaches include the maximum likelihood estimator (MLE), ...
A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
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