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Methodology | Synthical

Articles about Methodology

Asymptotically well-calibrated Bayesian p-value using the Kolmogorov-Smirnov statistic

Today by Yueming Shen and Surya Tokdar

Statistics Theory, Methodology

Comparing three learn-then-test paradigms in a multivariate normal means problem

Today by Abhinav Chakraborty and others

Statistics Theory, Methodology

Riesz Representer Fitting under Bregman Divergence: A Unified Framework for Debiased Machine Learning

Today by Masahiro Kato

Econometrics, Machine Learning

Cluster-based name embeddings reduce ethnic disparities in record linkage quality under realistic name corruption: evidence from the North Carolina Voter Registry

Today by Joseph Lam and others

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis

Today by Jiawei Fu and Donald Green

Econometrics, Applications

Omitted covariates bias and finite mixtures of regression models for longitudinal responses

Today by Marco Alfo' and Robrto Rocci

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

Today by Sébastien Petit and others

Computation, Methodology

Functional Synthetic Control Methods for Metric Space-Valued Outcomes

Today by Ryo Okano and Daisuke Kurisu

Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data

Today by Tim Gyger and others

Methodology, Machine Learning

Ridge-penalised spectral least-squares estimation for point processes

Today by Miguel Martinez Herrera and Felix Cheysson

Inference for Multiple Change-points in Piecewise Locally Stationary Time Series

Today by Wai Leong Ng and others

A new measure of dependence: Integrated R^2

Today by Mona Azadkia and Pouya Roudaki

Statistics Theory, Information Theory

Model-X Change-Point Detection of Conditional Distribution

Today by Zhuofan Dong and others

Characterization of multi-way binary tables with uniform margins and fixed correlations

Today by Roberto Fontana and others

Methodology, Statistics Theory

Approximating Persistent Homology for Large Datasets

Today by Yueqi Cao and Anthea Monod

Machine Learning, Statistics Theory

Data-Adaptive Automatic Threshold Calibration for Stability Selection

Today by Martin Huang and others

Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity

Today by Junjun Lang and others

Methodology, Machine Learning

Covariance-Driven Regression Trees: Reducing Overfitting in CART

Today by Likun Zhang and Wei Ma

Machine Learning, Methodology

Connections as treatment: causal inference with edge interventions in networks

Today by Shuli Chen and others

Methodology, Applications

Compounded Linear Failure Rate Distribution: Properties, Simulation and Analysis

Today by Suchismita Das and others

Methodology, Applications

Multi-environment Invariance Learning with Missing Data

Today by Yiran Jia

Machine Learning, Statistics Theory

Principal component-guided sparse reduced-rank regression

Yesterday by Kanji Goto and others

The Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory

Yesterday by Hisaya Okahara and others

PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling

Yesterday by Foo Hui-Mean and Yuan-Chin Ivan Chang

Methodology, Machine Learning

Precision Dose-Finding Design for Phase I Oncology Trials by Integrating Pharmacology Data

Yesterday by Kyong Lee and Yuan Ji

Applications, Methodology

Data-Driven Knowledge Transfer in Batch Q^* Learning

Yesterday by Elynn Chen and others

Machine Learning, Methodology

A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data

Yesterday by Ellen Considine and Rachel Nethery at

Harvard T.H. Chan School of Public Health

Applications, Methodology

Robust Bayesian Optimization via Tempered Posteriors

Yesterday by Jiguang Li and Hengrui Luo

Methodology, Machine Learning

Empirical Bayes Estimation in Heterogeneous Coefficient Panel Models

Yesterday by Myunghyun Song and others

Econometrics, Methodology

Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event

Yesterday by Yuhao Deng and others

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