Search Results for author:
Found 6 papers, 1 papers with code
DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing
Controlling the variations of sound effects using neural audio synthesis models has been a difficult task.
Comparisons of Australian Mental Health Distributions
Bayesian nonparametric estimates of Australian mental health distributions are obtained to assess how the mental health status of the population has changed over time and to compare the mental health status of female/male and indigenous/non-indigenous population subgroups.
Posterior Probabilities for Lorenz and Stochastic Dominance of Australian Income Distributions
Using HILDA data for the years 2001, 2006, 2010, 2014 and 2017, we compute posterior probabilities for dominance for all pairwise comparisons of income distributions in these years.
A Statistical Recurrent Stochastic Volatility Model for Stock Markets
The Stochastic Volatility (SV) model and its variants are widely used in the financial sector while recurrent neural network (RNN) models are successfully used in many large-scale industrial applications of Deep Learning.
Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives
This article considers the problem of estimating a multivariate probit model in a panel data setting with emphasis on sampling a high-dimensional correlation matrix and improving the overall efficiency of the data augmentation approach.
Computation Applications Methodology
Subsampling Sequential Monte Carlo for Static Bayesian Models
SMC sequentially updates a cloud of particles through a sequence of distributions, beginning with a distribution that is easy to sample from such as the prior and ending with the posterior distribution.
