Kirsten J. Lum

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kirsten J. Lum trusts overall

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

  1. James M. Robins
  2. Jennifer L. Hill
  3. Hemant Ishwaran
  4. James O. Berger
  5. Joseph Kang
  6. Robert B. Gramacy

Who trusts Kirsten J. Lum overall

  1. Ioana Bica

Papers from Kirsten J. Lum's perspective

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

  1. Unified Methods for Censored Longitudinal Data and Causality
  2. Marginal Structural Models versus Structural nested Models as Tools for Causal inference
  3. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
  4. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
  5. Bayesian Nonparametric Modeling for Causal Inference
  6. Marginal Structural Models and Causal Inference in Epidemiology
  7. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  8. Gibbs Sampling Methods for Stick-Breaking Priors
  9. Regression and Classification Using Gaussian Process Priors
  10. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies

Their papers