6.4k citations · 14.8k across the 73 of their papers we have counts for
Showing 2016 · stat.MEShow all
3 papers · 2 filters
stat.ME2016★ 8 cited
High-dimensional simultaneous inference with the bootstrap
Ruben Dezeure, Peter Bühlmann, Cun-Hui Zhang
We propose a residual and wild bootstrap methodology for individual and simultaneous inference in high-dimensional linear models with possibly non-Gaussian and heteroscedastic erro…
stat.ME2016
Nonparametric causal inference from observational time series through marginal integration
Shu Li, Jan Ernest, Peter Bühlmann
Causal inference from observational data is an ambitious but highly relevant task, with diverse applications ranging from natural to social sciences. Within the scope of nonparamet…
stat.ME2016★ 33 cited
Computationally efficient change point detection for high-dimensional regression
Florencia Leonardi, Peter Bühlmann
Large-scale sequential data is often exposed to some degree of inhomogeneity in the form of sudden changes in the parameters of the data-generating process. We consider the problem…