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Results : 76-100/160

On the optimal reconstruction of partially observed functional data

Authors: Alois Kneip Dominik Liebl

Journal: Annals of statistics

Citation: Alois Kneip et Dominik Liebl, On the optimal reconstruction of partially observed functional data, Annals of statistics , 48(3), 2020, pp. 1692-1717

Large sample properties of partitioning-based series estimators

Authors: Matias D. Cattaneo Max H. Farrell Yingjie Feng

Journal: Annals of statistics

Citation: Matias D. Cattaneo et al., Large sample properties of partitioning-based series estimators, Annals of statistics , 48(3), 2020, pp. 1718-1741

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

Authors: Qingyuan Zhao Jingshu Wang Gibran Hemani Jack Bowden Dylan S. Small

Journal: Annals of statistics

Citation: Qingyuan Zhao et al., Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score, Annals of statistics , 48(3), 2020, pp. 1742-1769

Local uncertainty sampling for large-scale multiclass logistic regression

Authors: Lei Han Kean Ming Tan Ting Yang Tong Zhang

Journal: Annals of statistics

Citation: Lei Han et al., Local uncertainty sampling for large-scale multiclass logistic regression, Annals of statistics , 48(3), 2020, pp. 1770-1788

Local nearest neighbour classification with applications to semi-supervised learning

Authors: Timothy I. Cannings Thomas B. Berrett Richard J. Samworth

Journal: Annals of statistics

Citation: Timothy I. Cannings et al., Local nearest neighbour classification with applications to semi-supervised learning, Annals of statistics , 48(3), 2020, pp. 1789-1814

An adaptable generalization of Hotelling.s T2 test in high dimension

Authors: Haoran Li Alexander Aue Debashis Paul Jie Peng Pei Wang

Journal: Annals of statistics

Citation: Haoran Li et al., An adaptable generalization of Hotelling.s T2 test in high dimension, Annals of statistics , 48(3), 2020, pp. 1815-1847

GRID: A variable selection and structure discovery method for high dimensional nonparametric regression

Authors: Francesco Giordano Soumendra Nath Lahiri Maria Lucia Parrella

Journal: Annals of statistics

Citation: Francesco Giordano et al., GRID: A variable selection and structure discovery method for high dimensional nonparametric regression, Annals of statistics , 48(3), 2020, pp. 1848-1874

Nonparametric regression using deep neural networks with ReLU activation function

Authors: Johannes Schmidt-Hieber

Journal: Annals of statistics

Citation: Johannes Schmidt-hieber, Nonparametric regression using deep neural networks with ReLU activation function, Annals of statistics , 48(4), 2020, pp. 1875-1897

Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function.

Authors: Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari

Journal: Annals of statistics

Citation: Behrooz Ghorbani et al., Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function., Annals of statistics , 48(4), 2020, pp. 1898-1901

Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function.

Authors: Gitta Kutyniok

Journal: Annals of statistics

Citation: Gitta Kutyniok, Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function., Annals of statistics , 48(4), 2020, pp. 1902-1905

Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function.

Authors: Michael Kohler Sophie Langer

Journal: Annals of statistics

Citation: Michael Kohler et Sophie Langer, Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function., Annals of statistics , 48(4), 2020, pp. 1906-1910

Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function.

Authors: Ohad Shamir

Journal: Annals of statistics

Citation: Ohad Shamir, Discussion of: .Nonparametric regression using deep neural networks with ReLU activation function., Annals of statistics , 48(4), 2020, pp. 1911-1915

Cramér-type moderate deviation for the maximum of the periodogram with application to simultaneous tests in gene expression time series

Authors: Liu, Weidong Shao, Qi-Man

Journal: Annals of statistics

Citation: Liu, Weidong et Shao, Qi-man, Cramér-type moderate deviation for the maximum of the periodogram with application to simultaneous tests in gene expression time series, Annals of statistics , 48(6), 2020, pp. 1913-1935

Rejoinder: .Nonparametric regression using deep neural networks with ReLU activation function.

Authors: Johannes Schmidt-Hieber

Journal: Annals of statistics

Citation: Johannes Schmidt-hieber, Rejoinder: .Nonparametric regression using deep neural networks with ReLU activation function., Annals of statistics , 48(4), 2020, pp. 1916-1921

Nonclassical Berry.Esseen inequalities and accuracy of the bootstrap

Authors: Mayya Zhilova

Journal: Annals of statistics

Citation: Mayya Zhilova, Nonclassical Berry.Esseen inequalities and accuracy of the bootstrap, Annals of statistics , 48(4), 2020, pp. 1922-1939

On the validity of the formal Edgeworth expansion for posterior densities

Authors: John E. Kolassa Todd A. Kuffner

Journal: Annals of statistics

Citation: John E. Kolassa et Todd A. Kuffner, On the validity of the formal Edgeworth expansion for posterior densities, Annals of statistics , 48(4), 2020, pp. 1940-1958

Model selection for high-dimensional linear regression with dependent observations

Authors: Ching-Kang Ing

Journal: Annals of statistics

Citation: Ching-kang Ing, Model selection for high-dimensional linear regression with dependent observations, Annals of statistics , 48(4), 2020, pp. 1959-1980

Optimal estimation of Gaussian mixtures via denoised method of moments

Authors: Yihong Wu Pengkun Yang

Journal: Annals of statistics

Citation: Yihong Wu et Pengkun Yang, Optimal estimation of Gaussian mixtures via denoised method of moments, Annals of statistics , 48(4), 2020, pp. 1981-2007

Sharp instruments for classifying compliers and generalizing causal effects

Authors: Kennedy Edward H. Sivaraman Balakrishnan Max G'Sell

Journal: Annals of statistics

Citation: H. Kennedy Edward et al., Sharp instruments for classifying compliers and generalizing causal effects, Annals of statistics , 48(4), 2020, pp. 2008-2030

Empirical risk minimization and complexity of dynamical models

Authors: Kevin McGoff Andrew B. Nobel

Journal: Annals of statistics

Citation: Kevin Mcgoff et Andrew B. Nobel, Empirical risk minimization and complexity of dynamical models, Annals of statistics , 48(4), 2020, pp. 2031-2054

Adaptive estimation in structured factor models with applications to overlapping clustering

Authors: Xin Bing Florentina Bunea Yang Ning Marten Wegkamp

Journal: Annals of statistics

Citation: Xin Bing et al., Adaptive estimation in structured factor models with applications to overlapping clustering, Annals of statistics , 48(4), 2020, pp. 2055-2081

Partial identifiability of restricted latent class models

Authors: Yuqi Gu Gongjun Xu

Journal: Annals of statistics

Citation: Yuqi Gu et Gongjun Xu, Partial identifiability of restricted latent class models, Annals of statistics , 48(4), 2020, pp. 2082-2107

Posterior concentration for Bayesian regression trees and forests

Authors: Veronika Ro.ková Stéphanie van der Pas

Journal: Annals of statistics

Citation: Veronika Ro.ková et Stéphanie Van Der Pas, Posterior concentration for Bayesian regression trees and forests, Annals of statistics , 48(4), 2020, pp. 2108-2131

Double-slicing assisted sufficient dimension reduction for high-dimensional censored data

Authors: Shanshan Ding Wei Qian Lan Wang

Journal: Annals of statistics

Citation: Shanshan Ding et al., Double-slicing assisted sufficient dimension reduction for high-dimensional censored data, Annals of statistics , 48(4), 2020, pp. 2132-2154

Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors

Authors: Judith Rousseau Botond Szabo

Journal: Annals of statistics

Citation: Judith Rousseau et Botond Szabo, Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors, Annals of statistics , 48(4), 2020, pp. 2155-2179

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