4 papers
rfBLT: Random Feature Bayesian Lasso Takens Model for time series forecasting
Thu Nguyen, Lam Si Tung Ho
Time series prediction is challenging due to our limited understanding of the underlying dynamics. Conventional models such as ARIMA and Holt's linear trend model experience diffic…
Simulation-based Methods for Optimal Sampling Design in Systems Biology
Tuan Minh Ha, Binh Thanh Nguyen, Lam Si Tung Ho
In many areas of systems biology, including virology, pharmacokinetics, and population biology, dynamical systems are commonly used to describe biological processes. These systems…
Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model
Wensha Zhang, Lam Si Tung Ho, Toby Kenney
Sudden changes in environmental conditions can lead to evolutionary shifts not only in the optimal trait value, but also in the diffusion variance under the Ornstein-Uhlenbeck (OU)…
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen
We analyze the error rates of the Hamiltonian Monte Carlo algorithm with leapfrog integrator for Bayesian neural network inference. We show that due to the non-differentiability of…