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Dootika Vats
Observed names:
D Vats,
Vats, Dootika
Institution:
Indian Institute of Technology Kanpur
Observed institutions:
University of Minnesota,
University of Warwick,
Indian Institute of Technology Kanpur,
Dhirubhai Ambani University
ORCID:
0000-0001-9453-0368
Observed ORCID:
0000-0001-9453-0368
OpenAlex ID:
A5075706077
Multivariate output analysis for Markov chain Monte Carlo
2019
·
Dootika Vats
, James M Flegal
, et al.
·
Biometrika
·
281
PDF
Revisiting the Gelman–Rubin Diagnostic
2021
·
Dootika Vats
, Christina Knudson
·
Statistical Science
·
185
PDF
Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo
2018
·
Dootika Vats
, James M. Flegal
, et al.
·
Bernoulli
·
46
PDF
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection
2022
·
Quan Zhou
, Jun Yang
, et al.
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
·
20
PDF
Geometric ergodicity of Gibbs samplers in Bayesian penalized regression models
2017
·
Dootika Vats
·
Electronic Journal of Statistics
·
17
PDF
Optimal bandwidth selection for robust generalized method of moments estimation
2022
·
D Vats
, J M Flegal
·
RePEc: Research Papers in Economics
·
15
Analyzing Markov chain Monte Carlo output
2020
·
Dootika Vats
, Nathan Robertson
, et al.
·
Wiley Interdisciplinary Reviews Computational Statistics
·
12
Lugsail lag windows and their application to MCMC
2018
·
Dootika Vats
, James M. Flegal
·
arXiv (Cornell University)
·
11
Batch Size Selection for Variance Estimators in MCMC
2021
·
Ying Liu
, Dootika Vats
, et al.
·
Methodology And Computing In Applied Probability
·
10
PDF
Assessing and Visualizing Simultaneous Simulation Error
2020
·
Nathan Robertson
, James M. Flegal
, et al.
·
Journal of Computational and Graphical Statistics
·
10
Optimal scaling of MCMC beyond Metropolis
2022
·
Sanket Agrawal
, Dootika Vats
, et al.
·
Advances in Applied Probability
·
7
PDF
Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors
2021
·
D Vats
, F B Gonçalves
, et al.
·
Biometrika
·
7
Strong Consistency of Multivariate Spectral Variance Estimators
2015
·
Vats, Dootika
, Flegal, James M.
, et al.
·
arXiv (Cornell University)
·
7
PDF
Globally Centered Autocovariances in MCMC
2022
·
Medha Agarwal
, Dootika Vats
·
Journal of Computational and Graphical Statistics
·
6
stableGR: A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo
2020
·
Christina Knudson
, Dootika Vats
·
6
PDF
Lugsail lag windows for estimating time-average covariance matrices
2021
·
D Vats
, J M Flegal
·
Biometrika
·
4
PDF
Estimating Monte Carlo variance from multiple Markov chains
2025
·
Kushagra Gupta
, Dootika Vats
·
Scandinavian Journal of Statistics
·
3
PDF
Multivariate strong invariance principles in Markov chain Monte Carlo
2024
·
Arka Banerjee
, Dootika Vats
·
Electronic Journal of Statistics
·
3
PDF
Monte Carlo Simulation: Are We There Yet?
2021
·
Dootika Vats
, James M. Flegal
, et al.
·
Wiley StatsRef: Statistics Reference Online
·
3
Bayesian equation selection on sparse data for discovery of stochastic dynamical systems
2021
·
Gupta, Kushagra
, Vats, Dootika
, et al.
·
arXiv (Cornell University)
·
3
PDF
Efficient Bernoulli factory MCMC for intractable posteriors
2020
·
Vats, Dootika
, Gonçalves, Flávio
, et al.
·
arXiv (Cornell University)
·
3
PDF
Solving the Poisson equation using coupled Markov chains
2026
·
Randal Douc
, Pierre E. Jacob
, et al.
·
The Annals of Statistics
·
2
Analyzing MCMC Output
2019
·
Vats, Dootika
, Robertson, Nathan
, et al.
·
arXiv (Cornell University)
·
2
PDF
Simulation and the Monte Carlo Method, 3rd ed.
2019
·
Dootika Vats
·
Journal of the American Statistical Association
·
2
PDF
New visualizations for Monte Carlo simulations
2019
·
Nathan Robertson
, James M. Flegal
, et al.
·
arXiv (Cornell University)
·
2
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Works count:
48
Citation count:
670
H-index:
10
I10-index:
10
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