Tirthankar Dasgupta
Statistics and Probability · with Pillai · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it; #10,088 of 12,932 by trust here, #10,855 by citations
Whom Tirthankar Dasgupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tirthankar Dasgupta overall
Papers from Tirthankar Dasgupta's perspective
Ordered by how strongly the researchers Tirthankar Dasgupta trusts endorse each paper. Same corpus, a different order for every researcher.
- [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
- THE RANDOMIZATION THEORY OF' EXPERIMENTAL INFERENCE*
- A paradox from randomization-based causal inference
- Statistics for Experimenters: Design, Innovation, and Discovery
- The Design of Experiments
- Bayesian Inference for Causal Effects: The Role of Randomization
- Observational Studies
- INFERENCE AND MISSING DATA
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Statistics and Causal Inference
Their papers
- Causal inference from 2K factorial designs by using potential outcomes (2015) — 101 citations