4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Sparse reconstruction of ordinary differential equations with inference
Sara Venkatraman, Sumanta Basu, Martin T. Wells
Sparse regression has emerged as a popular technique for learning dynamical systems from temporal data, beginning with the SINDy (Sparse Identification of Nonlinear Dynamics) frame…
Modeling Multivariate Positive-Valued Time Series Using R-INLA
Chiranjit Dutta, Nalini Ravishanker, Sumanta Basu
In this paper we describe fast Bayesian statistical analysis of vector positive-valued time series, with application to interesting financial data streams. We discuss a flexible le…
An empirical Bayes approach to estimating dynamic models of co-regulated gene expression
Sara Venkatraman, Sumanta Basu, Andrew G. Clark +3
Time-course gene expression datasets provide insight into the dynamics of complex biological processes, such as immune response and organ development. It is of interest to identify…