3 papers
stat.ME2020
Covariance matrix testing in high dimension using random projections
Deepak Nag Ayyala, Santu Ghosh, Daniel F. Linder
Estimation and hypothesis tests for the covariance matrix in high dimensions is a challenging problem as the traditional multivariate asymptotic theory is no longer valid. When the…
physics.soc-ph2018
Forecasting elections using compartmental models of infection
Alexandria Volkening, Daniel F. Linder, Mason A. Porter +1
Forecasting elections -- a challenging, high-stakes problem -- is the subject of much uncertainty, subjectivity, and media scrutiny. To shed light on this process, we develop a met…
stat.ME2018
Synthetic likelihood method for reaction network inference
Daniel F. Linder, Grzegorz A. Rempala
We propose a novel Markov chain Monte-Carlo (MCMC) method for reverse engineering the topological structure of stochastic reaction networks, a notoriously challenging problem that…