activity
20042018
most citedNonparametric methods for inference in the presence of instrumental variables

400 citations · 2.8k across the 49 of their papers we have counts for

collaborators

49 papers

stat.ME2018★ 2 cited

Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation

P. Hall, I. M. Johnstone, J. T. Ormerod +2

Expectation propagation is a general prescription for approximation of integrals in statistical inference problems. Its literature is mainly concerned with Bayesian inference scena…

math.ST2018★ 7 cited

A frequency domain analysis of the error distribution from noisy high-frequency data

Jinyuan Chang, Aurore Delaigle, Peter Hall +1

Data observed at high sampling frequency are typically assumed to be an additive composite of a relatively slow-varying continuous-time component, a latent stochastic process or a…

math.ST2016★ 1 cited

Nonparametric covariate-adjusted regression

Aurore Delaigle, Peter Hall, Wen-Xin Zhou

We consider nonparametric estimation of a regression curve when the data are observed with multiplicative distortion which depends on an observed confounding variable. We suggest s…

math.ST2014★ 39 cited

Double-bootstrap methods that use a single double-bootstrap simulation

Jinyuan Chang, Peter Hall

We show that, when the double bootstrap is used to improve performance of bootstrap methods for bias correction, techniques based on using a single double-bootstrap sample for each…

stat.ME2014★ 1 cited

Truncated Linear Models for Functional Data

Peter Hall, Giles Hooker

A conventional linear model for functional data involves expressing a response variable in terms of the explanatory function , via the model: $Y=a+\int_I b(t)X(t)dt+\hbox…

stat.ME2014★ 3 cited

An Algorithm for Nonlinear, Nonparametric Model Choice and Prediction

Frédéric Ferraty, Peter Hall

We introduce an algorithm which, in the context of nonlinear regression on vector-valued explanatory variables, chooses those combinations of vector components that provide best pr…