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Confidence intervals for low dimensional parameters in high dimensional linear models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2014-01, Vol.76 (1), p.217-242

2014

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ROBUST NONPARAMETRIC CONFIDENCE INTERVALS FOR REGRESSION-DISCONTINUITY DESIGNS

Econometrica, 2014-11, Vol.82 (6), p.2295-2326

2014

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ON ASYMPTOTICALLY OPTIMAL CONFIDENCE REGIONS AND TESTS FOR HIGH-DIMENSIONAL MODELS

The Annals of statistics, 2014-06, Vol.42 (3), p.1166-1202

2014

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Empirical and instance‐dependent estimation of Markov chain and mixing time

Scandinavian journal of statistics, 2024-06, Vol.51 (2), p.557-589

Wolfer, Geoffrey

2024

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EXACT POST-SELECTION INFERENCE, WITH APPLICATION TO THE LASSO

The Annals of statistics, 2016-06, Vol.44 (3), p.907-927

2016

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Estimation and Accuracy After Model Selection

Journal of the American Statistical Association, 2014-07, Vol.109 (507), p.991-1007

Efron, Bradley

2014

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Interval estimation for the breakpoint in segmented regression: a smoothed score‐based approach

Australian & New Zealand journal of statistics, 2017-09, Vol.59 (3), p.311-322

Muggeo, Vito M.R.

2017

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Statistical inferences of linear forms for noisy matrix completion

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-02, Vol.83 (1), p.58-77

2021

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Statistical inference of the value function for reinforcement learning in infinite‐horizon settings

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-07, Vol.84 (3), p.765-793

2022

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Least-squares estimation for uncertain moving average model

Communications in statistics. Theory and methods, 2021-08, Vol.50 (17), p.4134-4143

2021

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Twelve-Year Analysis of NO2 Concentration Measurements at Belisario Station (Quito, Ecuador) Using Statistical Inference Techniques

Sensors (Basel, Switzerland), 2020-10, Vol.20 (20), p.5831

2020

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Reliability and Maintenance Analysis of Unmanned Aerial Vehicles

Sensors (Basel, Switzerland), 2018-09, Vol.18 (9), p.3171

2018

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Sample size formulas for estimating intraclass correlation coefficients with precision and assurance

Statistics in medicine, 2012-12, Vol.31 (29), p.3972-3981

Zou, G. Y.

2012

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Exact Post-Selection Inference for Sequential Regression Procedures

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.600-620

2016

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Sobol’ sensitivity analysis of a complex environmental model

Environmental modelling & software : with environment data news, 2011-12, Vol.26 (12), p.1515-1525

2011

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High-Dimensional Inference: Confidence Intervals, p-Values and R-Software hdi

Statistical science, 2015-11, Vol.30 (4), p.533-558

2015

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Back to the basics: Rethinking partial correlation network methodology

British journal of mathematical & statistical psychology, 2020-05, Vol.73 (2), p.187-212

2020

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Inference on Nadarajah-Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring

Journal of applied statistics, 2022-08, Vol.49 (11), p.2891-2912

2022

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Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1319-1332

2023

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Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling?

Structural equation modeling, 2018-03, Vol.25 (2), p.244-266

Falk, Carl F.

2018

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Coverage Properties of Confidence Intervals for Generalized Additive Model Components

Scandinavian journal of statistics, 2012-03, Vol.39 (1), p.53-74

2012

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Confidence Interval Estimation for the Mean of Zero-Inflated Birnbaum–Saunders Distribution

Lobachevskii journal of mathematics, 2023-12, Vol.44 (12), p.5364-5383

2023

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Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects

Structural equation modeling, 2016-03, Vol.23 (2), p.194-205

2016

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A comparative study of confidence intervals to assess biosimilarity from analytical data

Pharmaceutical statistics : the journal of the pharmaceutical industry, 2019-05, Vol.18 (3), p.316-328

2019

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A note on computing a confidence interval for the mean

Communications in statistics. Simulation and computation, 2024-01, Vol.53 (1), p.164-166

Wilcox, Rand R.

2024

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Confidence intervals for low dimensional parameters in high dimensional linear models

ROBUST NONPARAMETRIC CONFIDENCE INTERVALS FOR REGRESSION-DISCONTINUITY DESIGNS

ON ASYMPTOTICALLY OPTIMAL CONFIDENCE REGIONS AND TESTS FOR HIGH-DIMENSIONAL MODELS

Empirical and instance‐dependent estimation of Markov chain and mixing time

EXACT POST-SELECTION INFERENCE, WITH APPLICATION TO THE LASSO

Estimation and Accuracy After Model Selection

Interval estimation for the breakpoint in segmented regression: a smoothed score‐based approach

Statistical inferences of linear forms for noisy matrix completion

Statistical inference of the value function for reinforcement learning in infinite‐horizon settings

Least-squares estimation for uncertain moving average model

Twelve-Year Analysis of NO2 Concentration Measurements at Belisario Station (Quito, Ecuador) Using Statistical Inference Techniques

Reliability and Maintenance Analysis of Unmanned Aerial Vehicles

Sample size formulas for estimating intraclass correlation coefficients with precision and assurance

Exact Post-Selection Inference for Sequential Regression Procedures

Sobol’ sensitivity analysis of a complex environmental model

High-Dimensional Inference: Confidence Intervals, p-Values and R-Software hdi

Back to the basics: Rethinking partial correlation network methodology

Inference on Nadarajah-Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring

Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling?

Coverage Properties of Confidence Intervals for Generalized Additive Model Components

Confidence Interval Estimation for the Mean of Zero-Inflated Birnbaum–Saunders Distribution

Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects

A comparative study of confidence intervals to assess biosimilarity from analytical data

A note on computing a confidence interval for the mean

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