320 citations · 349 across the 10 of their papers we have counts for
4 papers · 1 filter
Simulation-based inference methods for partially observed Markov model via the R package is2
Duc Anh Doan, Dao Nguyen, Xin Dang
Partially observed Markov process (POMP) models are powerful tools for time series modeling and analysis. Inherited the flexible framework of R package pomp, the is2 package extend…
A new Gini correlation between quantitative and qualitative variables
Xin Dang, Dao Nguyen, Yixin Chen +1
We propose a new Gini correlation to measure dependence between a categorical and numerical variables. Analogous to Pearson in ANOVA model, the Gini correlation is interprete…
Accelerate iterated filtering
Dao Nguyen
In simulation-based inferences for partially observed Markov process models (POMP), the by-product of the Monte Carlo filtering is an approximation of the log likelihood function.…
Automatic adaptation of MCMC algorithms
Dao Nguyen, Perry de Valpine, Yves Atchade +3
Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulation-based inference in many fields but designing and identifying good MCMC samplers is still an open questio…