Dootika Vats

Statistics and Probability · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it
• Artificial Intelligence — 15 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Dootika Vats trusts overall

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

1. Galin L. Jones
2. James M. Flegal
3. Andrew Gelman
4. John K. Kruschke
5. Lei Gong
6. Gareth O. Roberts
7. James P. Hobert
8. Jun S. Liu
9. Donald B. Rubin
10. Trevor Park

Who trusts Dootika Vats overall

1. Aki Vehtari
2. Andrew Gelman
3. Bryan Eikema
4. Daniel P. Simpson
5. Christina Knudson

Papers from Dootika Vats's perspective

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

1. Inference from Iterative Simulation Using Multiple Sequences
2. Markov chain Monte Carlo: Can we trust the third significant figure?
3. Geometric ergodicity of Metropolis algorithms
4. General methods for monitoring convergence of iterative simulations
5. Sufficient burn-in for Gibbs samplers for a hierarchical random effects model
6. Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo
7. Batch means and spectral variance estimators in Markov chain Monte Carlo
8. Polynomial convergence rates of Markov chains.
9. The Bayesian Lasso
10. On the Markov chain central limit theorem

Their papers

• Revisiting the Gelman–Rubin Diagnostic (2018) — 182 citations
• Multivariate output analysis for Markov chain Monte Carlo (2015) — 304 citations
• Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo (2015) — 51 citations