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Dr

Kd Dang

Lecturer In Data Science And Statistics
Mathematics and Statistics
Statistics
Bayesian
Markov chain Monte Carlo
Large data
Kd Dang's Profile Picture
Dr

Kd Dang

 
Division
Science
 
Primary Interest
Bayesian Inference
Kd Dang's Profile Picture
Dr

Kd Dang

 
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Scholarly Works

Displaying the 4 most recent scholarly works by Kd Dang.

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The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC

M Quiroz, MN Tran, M Villani, R Kohn, KD Dang

Journal article  |  2021  |  Journal of Computational and Graphical Statistics

Speeding up Markov chain Monte Carlo (MCMC) for datasets with many observations by data subsampling has recently received consider..

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Subsampling sequential Monte Carlo for static Bayesian models

D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran

Journal article  |  2020  |  Statistics and Computing

We show how to speed up sequential Monte Carlo (SMC) for Bayesian inference in large data problems by data subsampling. SMC sequen..

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Hamiltonian monte carlo with energy conserving subsampling

KD Dang, M Quiroz, R Kohn, MN Tran, M Villani

Journal article  |  2019  |  Journal of Machine Learning Research

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Subsampling MCMC - an Introduction for the Survey Statistician

M Quiroz, M Villani, R Kohn, MN Tran, KD Dang

Journal article  |  2018  |  Sankhya A

The rapid development of computing power and efficient Markov Chain Monte Carlo (MCMC) simulation algorithms have revolutionized B..

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Scholarly Works

Credentials

Positions

Lecturer In Data Science And Statistics

Mathematics and Statistics

Education

Doctor of Philosophy

The University of New South Wales

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