:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Moosavi, Niloofar, Häggström, Jenny, de Luna, Xavier
Format:	Preprint
Published:	2021
Subjects:	Statistics Theory Methodology
Online Access:	https://arxiv.org/abs/2105.02071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Valid causal inference with unobserved confounding in high-dimensional settings
by: Moosavi, Niloofar, et al.
Published: (2024)

Convolutional neural networks for valid and efficient causal inference
by: Ghasempour, Mohammad, et al.
Published: (2023)

Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)

Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)

Causal inference targeting a concentration index for studies of health inequalities
by: Ghasempour, Mohammad, et al.
Published: (2024)

Statistical inference for high-dimensional spectral density matrix
by: Chang, Jinyuan, et al.
Published: (2022)

Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)

Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)

Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)

Embedding Network Autoregression for time series analysis and causal peer effect inference
by: Chang, Jae Ho, et al.
Published: (2024)

Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)

Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024)

Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)

Nonparametric inference for ratios of densities via uniformly valid and powerful permutation tests
by: Bordino, Alberto, et al.
Published: (2025)

Unifying regression-based and design-based causal inference in time-series experiments
by: Lin, Zhexiao, et al.
Published: (2025)

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)

Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022)

Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)

Regularized e-processes: anytime valid inference with knowledge-based efficiency gains
by: Martin, Ryan
Published: (2024)

High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
by: Wang, Rui, et al.
Published: (2026)

Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)

Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)

Fiducial inference for partially identified parameters with applications to instrumental variable models
by: Cui, Yifan, et al.
Published: (2025)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)

Extremes of structural causal models
by: Engelke, Sebastian, et al.
Published: (2025)

The causal interpretation of acceleration factors
by: Brathovde, Mari, et al.
Published: (2024)

Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
by: Chang, Jinyuan, et al.
Published: (2018)

Two-Stage Testing in a high dimensional setting
by: Jonker, Marianne A, et al.
Published: (2024)

Adaptive L-statistics for high dimensional test problem
by: Ma, Huifang, et al.
Published: (2024)

Graph fission and cross-validation
by: Leiner, James, et al.
Published: (2024)

A uniform kernel trick for high-dimensional two-sample problems
by: Cárcamo, Javier, et al.
Published: (2022)

Testing independence in the presence of missing data: high-dimensional case
by: Cuparić, Marija, et al.
Published: (2026)

High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions
by: Xue, Fei, et al.
Published: (2023)

Neymanian inference in randomized experiments
by: Chattopadhyay, Ambarish, et al.
Published: (2024)

Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)

A nonparametric test of spherical symmetry applicable to high dimensional data
by: Banerjee, Bilol, et al.
Published: (2024)