精读报告存档¶
2026-05-18¶
- Generalized linear spectral statistics of high-dimensional sample covariance matrices and its applications
其他· 10/10 [journals] - Average partial effect estimation using double machine learning
效率理论 / Debiased ML· 10/10 [journals] - Proximal indirect comparison
因果推断· 10/10 [journals] - Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects
因果推断· 10/10 [journals] - Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
非参数 / 半参数· 9/10 [journals] - A causal fused lasso for interpretable heterogeneous treatment effects estimation
因果推断· 9/10 [journals] - Large-scale multiple testing: Fundamental limits of false discovery rate control and compound oracle
数理统计 / 假设检验· 9/10 [journals] - Parameter identification in linear non-Gaussian causal models under general confounding
因果推断· 9/10 [journals] - Dualizing Le Cam’s method for functional estimation I: General theory
非参数 / 半参数· 9/10 [journals] - Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
因果推断· 9/10 [journals] - Optimality of approximate message passing for spiked matrix models with rotationally invariant noise
高维统计 / 随机矩阵· 9/10 [journals] - On the consistency of bootstrap for matching estimators
因果推断· 9/10 [journals] - Calibrated sensitivity models
因果推断· 9/10 [journals] - Estimating the number of significant components in high-dimensional principal component analysis
高维统计 / 随机矩阵· 9/10 [journals] - Thinning a Wishart random matrix
高维统计 / 随机矩阵· 9/10 [journals] - Post-selection inference for causal effects after causal discovery
因果推断· 9/10 [journals] - Extremal random matrices with independent entries and matrix superconcentration inequalities
高维统计 / 随机矩阵· 9/10 [journals] - Liberating dimension and spectral norm: A universal approach to spectral properties of sample covariance matrices
高维统计 / 随机矩阵· 9/10 [journals] - Limiting laws for spiked eigenvalues and largest non-spiked eigenvalues of sample covariance matrices in elliptical distributions
高维统计 / 随机矩阵· 9/10 [journals] - Functional estimation in high-dimensional and infinite-dimensional models
效率理论 / Debiased ML· 9/10 [journals] - The asymptotic properties of the extreme eigenvectors of high-dimensional generalized spiked covariance models
高维统计 / 随机矩阵· 9/10 [journals] - Domain adaptation under hidden confounding
因果推断· 9/10 [journals] - Semiparametric Causal Discovery and Inference with Invalid Instruments
因果推断· 9/10 [journals] - Interval identification of natural effects in the presence of outcome‐related unmeasured confounding
因果推断· 9/10 [journals] - Efficient multiple‐robust estimation for nonresponse data under informative sampling
效率理论 / Debiased ML· 9/10 [journals] - Asymptotically efficient data-adaptive penalized shrinkage estimation with application to causal inference
效率理论 / Debiased ML· 9/10 [journals] - Multiply robust estimation for causal survival analysis with treatment noncompliance
因果推断· 9/10 [journals] - Measurement error-robust causal inference via constructed instrumental variables
因果推断· 9/10 [journals] - Efficient collaborative learning of the average treatment effect
因果推断· 9/10 [journals] - Estimating optimal dynamic treatment regimes with Gaussian process emulation
因果推断· 9/10 [journals] - Handling incomplete outcomes and covariates in cluster-randomized trials: doubly robust estimation, efficiency considerations, and sensitivity analysis
因果推断· 9/10 [journals] - A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: applications to a cohort stepped wedge trial
因果推断· 9/10 [journals] - Instrumental variable approach to estimating individual causal effects in N-of-1 trials: application to ISTOP study
因果推断· 9/10 [journals] - Identification and estimation of mediational effects of longitudinal modified treatment policies
因果推断· 9/10 [journals] - Flexible Functional Treatment Effect Estimation
因果推断· 8/10 [journals] - Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs
因果推断· 8/10 [journals] - The Distribution of Ridgeless Least Squares Interpolators
高维统计 / 随机矩阵· 8/10 [journals] - Hierarchical Causal Models
因果推断· 8/10 [journals] - Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models
因果推断· 8/10 [journals] - Finite- and large sample inference for model and coefficients in high-dimensional linear regression with repro samples
高维统计 / 随机矩阵· 8/10 [journals] - Scalable inference for nonparametric stochastic approximation in reproducing kernel Hilbert spaces
非参数 / 半参数· 8/10 [journals] - Analysis of singular subspaces under random perturbations
高维统计 / 随机矩阵· 8/10 [journals] - Reviving pseudo-inverses: Asymptotic properties of large dimensional Moore–Penrose and ridge-type inverses with applications
高维统计 / 随机矩阵· 8/10 [journals] - Optimal convex M-estimation via score matching
效率理论 / Debiased ML· 8/10 [journals] - Confounder selection via iterative graph expansion
因果推断· 8/10 [journals] - Semiparametric Bernstein–von Mises phenomenon via Isotonized Posterior in Wicksell’s problem
非参数 / 半参数· 8/10 [journals] - Multivariate root-n-consistent smoothing parameter-free matching estimators and estimators of inverse density weighted expectations
非参数 / 半参数· 8/10 [journals] - Diaconis–Ylvisaker prior penalized likelihood for $ p/n\to\kappa\in(0,1) $ logistic regression
高维统计 / 随机矩阵· 8/10 [journals] - Bounds on causal effects in $ 2^{K} $ factorial experiments with noncompliance
因果推断· 8/10 [journals] - Robust universal inference for misspecified models
数理统计 / 假设检验· 8/10 [journals] - Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies
因果推断· 8/10 [journals] - Identification and estimation of interaction effects in nonparametric additive regression
非参数 / 半参数· 8/10 [journals] - Structural restrictions in local causal discovery: identifying direct causes of a target variable
因果推断· 8/10 [journals] - Kronecker-product random matrices and a matrix least squares problem
高维统计 / 随机矩阵· 8/10 [journals] - Universality of estimators for high-dimensional linear models with block dependency
高维统计 / 随机矩阵· 8/10 [journals] - Strong convergence for tensor GUE random matrices
高维统计 / 随机矩阵· 8/10 [journals] - Locally sharp goodness-of-fit testing in sup norm for high-dimensional counts
数理统计 / 假设检验· 8/10 [journals] - Detecting spectral breaks in spiked covariance models
高维统计 / 随机矩阵· 8/10 [journals] - Sharp bounds for multiple models in matrix completion
高维统计 / 随机矩阵· 8/10 [journals] - High-dimensional partial linear model with trend filtering
非参数 / 半参数· 8/10 [journals] - The existence of unbiased hypothesis tests: An algebraic approach
数理统计 / 假设检验· 8/10 [journals] - Unified and robust tests for cross sectional independence in large panel data models
高维统计 / 随机矩阵· 8/10 [journals] - Sensitivity analysis for generalized estimating equation with non‐ignorable missing data
因果推断· 8/10 [journals] - Data integration with nonprobability sample: Semiparametric model‐assisted approach
非参数 / 半参数· 8/10 [journals] - Integrative learning of linear non-Gaussian directed acyclic graphs with application on multisource gene regulatory network analysis
高维统计 / 随机矩阵· 8/10 [journals] - Time-varying mediation analysis for incomplete data with application to DNA methylation study for PTSD
因果推断· 8/10 [journals] - Borrowing information from an unidentifiable model: Guaranteed efficiency gain with a dichotomized outcome in the external data
其他· 8/10 [journals] - Efficient interaction analysis in randomized controlled trials
效率理论 / Debiased ML· 8/10 [journals] - A robust covariate-balancing method for estimating individualized treatment with censored data
因果推断· 8/10 [journals] - Causal inference with misspecified network interference structure
因果推断· 8/10 [journals] - Distributed fusion R -learner of heterogeneous treatment effect using distributed medicaid data
因果推断· 8/10 [journals] - Nonparametric ANCOVA for longitudinal outcomes in a randomized clinical trial
因果推断· 8/10 [journals] - A doubly robust framework for addressing outcome-dependent selection bias in multi-cohort EHR studies
因果推断· 8/10 [journals] - Statistical inference for high-dimensional generalized estimating equations
效率理论 / Debiased ML· 8/10 [journals] - Multi-study R -learner for estimating heterogeneous treatment effects across studies using statistical machine learning
因果推断· 8/10 [journals] - Testing for a difference in means of a single feature after clustering
数理统计 / 假设检验· 8/10 [journals] - Stratification-based instrumental variable analysis framework for nonlinear effect analysis
因果推断· 8/10 [journals] - Optimized Variance Estimation under Interference and Complex Experimental Designs
因果推断· 8/10 [journals] - Identification through sparsity in factor models: The ℓ 1 ‐rotation criterion
经济理论 / 应用· 7/10 [journals]
2026-05-17¶
- Generalized linear spectral statistics of high-dimensional sample covariance matrices and its applications
高维统计 / 随机矩阵· 10/10 [journals] - Average partial effect estimation using double machine learning
效率理论 / Debiased ML· 10/10 [journals] - The Distribution of Ridgeless Least Squares Interpolators
高维统计 / 随机矩阵· 9/10 [journals] - Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
非参数 / 半参数· 9/10 [journals] - Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models
因果推断· 9/10 [journals] - Reviving pseudo-inverses: Asymptotic properties of large dimensional Moore–Penrose and ridge-type inverses with applications
高维统计 / 随机矩阵· 9/10 [journals] - Parameter identification in linear non-Gaussian causal models under general confounding
因果推断· 9/10 [journals] - Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
因果推断· 9/10 [journals] - Multivariate root-n-consistent smoothing parameter-free matching estimators and estimators of inverse density weighted expectations
非参数 / 半参数· 9/10 [journals] - Optimality of approximate message passing for spiked matrix models with rotationally invariant noise
高维统计 / 随机矩阵· 9/10 [journals] - Near-optimal inference in adaptive linear regression
效率理论 / Debiased ML· 9/10 [journals] - Tests of missing completely at random based on sample covariance matrices
数理统计 / 假设检验· 9/10 [journals] - Flexible Functional Treatment Effect Estimation
因果推断· 8/10 [journals] - Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs
其他· 8/10 [journals] - A causal fused lasso for interpretable heterogeneous treatment effects estimation
因果推断· 8/10 [journals] - Finite- and large sample inference for model and coefficients in high-dimensional linear regression with repro samples
高维统计 / 随机矩阵· 8/10 [journals] - Analysis of singular subspaces under random perturbations
高维统计 / 随机矩阵· 8/10 [journals] - Optimal eigenvalue shrinkage in the semicircle limit
高维统计 / 随机矩阵· 8/10 [journals] - Confounder selection via iterative graph expansion
其他· 8/10 [journals] - Dualizing Le Cam’s method for functional estimation I: General theory
效率理论 / Debiased ML· 8/10 [journals] - Semiparametric Bernstein–von Mises phenomenon via Isotonized Posterior in Wicksell’s problem
非参数 / 半参数· 8/10 [journals] - Counterfactual inference in sequential experiments
因果推断· 8/10 [journals] - Causal effect estimation under network interference with mean-field methods
其他· 8/10 [journals] - Yurinskii’s coupling for martingales
高维统计 / 随机矩阵· 8/10 [journals] - Structured matrix learning under arbitrary entrywise dependence and estimation of Markov transition kernel
高维统计 / 随机矩阵· 8/10 [journals] - Online statistical inference in decision-making with matrix context
效率理论 / Debiased ML· 8/10 [journals]
2026-05-12¶
- Proximal Causal Inference for Hidden Outcomes
因果推断· 10/10 [daily] - Proximal Path-Specific Inference
因果推断· 10/10 [daily] - Regularity, Phase Transitions, and Uniform Inference for Proximal Counterfactual Quantile Processes
因果推断· 10/10 [daily] - Sample size and power calculations for causal inference with time-to-event outcomes
因果推断· 9/10 [daily] - Nested Sensitivity Envelopes for Transported Quantile Treatment Effects
因果推断· 9/10 [daily] - Causal Stability Selection
因果推断· 8/10 [daily]
2026-05-11¶
- Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
因果推断· 9/10 [daily] - Bias Correction for Semiparametric Regression Models
非参数 / 半参数· 8/10 [daily]
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