Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...

The analysis in this report is based on a self-administered web survey conducted from Sept. 26 to Oct. 23, 2023, among a sample of 1,453 dyads, with each dyad (or pair) comprised of one U.S. teen ages ...

The WeightedRandomItemSampler class implements a random sampler where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...

Abstract: In this article, we propose a distributional policy-gradient method based on distributional reinforcement learning (RL) and policy gradient. Conventional RL algorithms typically estimate the ...