Showing 1 - 10 of 18
We derive strong approximations to the supremum of the non-centered empirical process indexed by a possibly unbounded VC-type class of functions by the suprema of the Gaussian and bootstrap processes. The bounds of these approximations are non-asymptotic, which allows us to work with classes of...
Persistent link: https://www.econbiz.de/10011524717
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10011525777
certain restrictions on the covariance matrices, play an important role in probability theory, especially in empirical process …
Persistent link: https://www.econbiz.de/10011525793
.g. a hybrid of a random forest and lasso). We illustrate the application of the general theory through application to the …
Persistent link: https://www.econbiz.de/10011538313
In this paper, we derive central limit and bootstrap theorems for probabilities that centered high-dimensional vector sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the probabilities that a root-n rescaled sample average of Xi is...
Persistent link: https://www.econbiz.de/10010459841
Persistent link: https://www.econbiz.de/10001835951
This paper develops methods for evaluating marginal policy changes. We characterize how the effects of marginal policy changes depend on the direction of the policy change, and show that marginal policy effects are fundamentally easier to identify and to estimate than conventional treatment...
Persistent link: https://www.econbiz.de/10003869267
In this paper, I construct a new test of conditional moment inequalities based on studentized kernel estimates of moment functions. The test automatically adapts to the unknown smoothness of the moment functions, has uniformly correct asymptotic size, and is rate optimal against certain classes...
Persistent link: https://www.econbiz.de/10009667986
We derive a Gaussian approximation result for the maximum of a sum of high dimensional random vectors. Specifically, we establish conditions under which the distribution of the maximum is approximated by that of the maximum of a sum of the Gaussian random vectors with the same covariance...
Persistent link: https://www.econbiz.de/10010227470
We develop a new direct approach to approximating suprema of general empirical processes by a sequence of suprema of Gaussian processes, without taking the route of approximating whole empirical processes in the supremum norm. We prove an abstract approximation theorem that is applicable to a...
Persistent link: https://www.econbiz.de/10010227479