Satyanshu K. Upadhyay

Statistics and Probability · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Satyanshu K. Upadhyay trusts overall

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

  1. Donald B. Rubin
  2. Andrew Gelman
  3. Chin Diew Lai
  4. Min Xie
  5. Xiao-Li Meng
  6. Hal S. Stern

Papers from Satyanshu K. Upadhyay's perspective

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

  1. POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES
  2. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
  3. Weibull Models (Technometrics)
  4. Adaptive Rejection Sampling for Gibbs Sampling
  5. A modified Weibull distribution (IEEE Transactions on Reliability)
  6. Sampling-Based Approaches to Calculating Marginal Densities
  7. INFERENCE AND MISSING DATA
  8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  9. [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
  10. Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies

Their papers