Cover Image

Inference for Linear Systems with Unknown Coefficients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Yuehao, Ponomarev, Kirill, Santos, Andres, Shaikh, Azeem M., Tabord-Meehan, Max, Torgovitsky, Alexander
Format:	Preprint
Published:	2026
Subjects:	Econometrics Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)

On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023)

A New Design-Based Variance Estimator for Finely Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2025)

A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
by: Bai, Yuehao, et al.
Published: (2024)

Inference in Cluster Randomized Trials with Matched Pairs
by: Bai, Yuehao, et al.
Published: (2022)

The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)

Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)

Sharp Testable Implications of Encouragement Designs
by: Bai, Yuehao, et al.
Published: (2024)

On the Lower Confidence Band for the Optimal Welfare in Policy Learning
by: Ponomarev, Kirill, et al.
Published: (2024)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables
by: Bai, Yuehao, et al.
Published: (2024)

Robust Estimation and Inference for Categorical Data
by: Welz, Max
Published: (2024)

Exposure effects are not automatically useful for policymaking
by: Auerbach, Eric, et al.
Published: (2024)

Finely Stratified Rerandomization Designs
by: Cytrynbaum, Max
Published: (2024)

Refined Cluster Robust Inference
by: Gafarov, Bulat, et al.
Published: (2026)

Universal Inference for Incomplete Discrete Choice Models
by: Kaido, Hiroaki, et al.
Published: (2025)

Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)

Inference on effect size after multiple hypothesis testing
by: Dzemski, Andreas, et al.
Published: (2025)

Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)

Residual Balancing for Non-Linear Outcome Models in High Dimensions
by: Meza, Isaac
Published: (2025)

Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
by: Cattaneo, Matias D., et al.
Published: (2024)

A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
by: Reichold, Karsten, et al.
Published: (2022)

Inference in partially identified moment models via regularized optimal transport
by: Franguridi, Grigory, et al.
Published: (2025)

Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series
by: Hoga, Yannick, et al.
Published: (2025)

Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference
by: Casini, Alessandro, et al.
Published: (2021)

Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
by: Walker, Christopher D.
Published: (2023)

Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models
by: Casini, Alessandro
Published: (2021)

Inference for parameters identified by conditional moment restrictions using a generalized Bierens maximum statistic
by: Chen, Xiaohong, et al.
Published: (2020)

Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm
by: Barigozzi, Matteo, et al.
Published: (2019)

Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)

Least squares estimation in nonstationary nonlinear cohort panels with learning from experience
by: Mayer, Alexander, et al.
Published: (2023)

On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
by: Bai, Yuehao, et al.
Published: (2024)

Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)

Inference After Ranking with Applications to Economic Mobility
by: Petrou-Zeniou, Andreas, et al.
Published: (2024)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Bootstrap-Assisted Inference for Generalized Grenander-type Estimators
by: Cattaneo, Matias D., et al.
Published: (2023)

Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)

Inference for Synthetic Controls via Refined Placebo Tests
by: Lei, Lihua, et al.
Published: (2024)

Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)

Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)