M. Alexander

General Health Professions · with Alkema · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• General Health Professions — 5 citations into it

Whom M. Alexander trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew Gelman
2. Steven Haberman
3. Emilio Zagheni
4. J. Carlin

Papers from M. Alexander's perspective

Ordered by how strongly the researchers M. Alexander trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bayesian Data Analysis (Technometrics)
2. An Empirical Study of Geographic User Activity Patterns in Foursquare (International Conference on Web and Social Media)
3. Inferring international and internal migration patterns from Twitter data
4. A cohort-based extension to the Lee-Carter model for mortality reduction factors
5. International Migration Report 2015: Highlights
6. Sampling-Based Approaches to Calculating Marginal Densities
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. Estimating the Dimension of a Model
9. The statistical crisis in science
10. Statistical Models in S

Their papers

• Combining Social Media and Survey Data to Nowcast Migrant Stocks in the United States (2020) — 67 citations
• National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis (2019) — 742 citations