Sung-mok Jung

medRxiv · 2020

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Sung-mok Jung's perspective

Ordered by how strongly the researchers Sung-mok Jung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Using Stacking to Average Bayesian Predictive Distributions (with Discussion) (Bayesian Analysis)
  2. Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings (Science)
  3. Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data (medRxiv)
  4. Incubation periods of acute respiratory viral infections: a systematic review (Lancet. Infectious Diseases (Print))
  5. [Asymptomatic infection of COVID-19 and its challenge to epidemic prevention and control]. (Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi)
  6. Julia: A Fresh Approach to Numerical Computing
  7. R: A language and environment for statistical computing.
  8. Time lines of infection and disease in human influenza: a review of volunteer challenge studies. (American Journal of Epidemiology)
  9. Containing pandemic influenza with antiviral agents. (American Journal of Epidemiology)
  10. Robust Modeling in Cognitive Science (Computational Brain & Behavior)

Their papers