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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…
Nonparametric Inference Framework for Time-dependent Epidemic Models
Son Luu, Edward Susko, Lam Si Tung Ho
Compartmental models, especially the Susceptible-Infected-Removed (SIR) model, have long been used to understand the behaviour of various diseases. Allowing parameters, such as the…
Ancestral state reconstruction with large numbers of sequences and edge-length estimation
Lam Si Tung Ho, Edward Susko
Likelihood-based methods are widely considered the best approaches for reconstructing ancestral states. Although much effort has been made to study properties of these methods, pre…
Inferring phenotypic trait evolution on large trees with many incomplete measurements
Gabriel Hassler, Max R. Tolkoff, William L. Allen +3
Comparative biologists are often interested in inferring covariation between multiple biological traits sampled across numerous related taxa. To properly study these relationships,…