Výsledky vyhľadávania - "Shi, Chengchun"

From authors to reviewers: leveraging rankings to improve peer review

Autori: Wang, Weichen Shi, Chengchun

Predmety: HA Statistics

Popis súboru: text

Relation: http://eprints.lse.ac.uk/130008/1/Authors2Reviewers2.pdf; Wang, Weichen and Shi, Chengchun orcid:0000-0001-7773-2099 (2025) From authors to reviewers: leveraging rankings to improve peer review. Journal of the American Statistical Association. ISSN 0162-1459 (In Press)

Dostupnosť: http://eprints.lse.ac.uk/130008/
http://eprints.lse.ac.uk/130008/1/Authors2Reviewers2.pdf

HONO formation mechanisms and impacts on ambient oxidants in coastal regions of Fujian, China.

Autori: Zhang, Haoran Shi, Chengchun Ying, Chuanyou a ďalší

Zdroj: Atmospheric Chemistry & Physics; 2025, Vol. 25 Issue 22, p16797-16816, 20p

Dynamics of Oxygen and the Physicochemical Response in Two Comparative Hypoxia Regions.

Autori: Wei, Jian Waniek, Joanna J. Kuss, Joachim a ďalší

Zdroj: Oceans (2673-1924); Sep2025, Vol. 6 Issue 3, p54, 17p

Predmety: HYPOXIA (Water), DISSOLVED oxygen in water, CHEMICAL reactions, SEASONS, BODIES of water

Geografický termín: BALTIC Sea

Off-Policy Evaluation in Doubly Inhomogeneous Environments.

Autori: Bian, Zeyu Shi, Chengchun Qi, Zhengling a ďalší

Zdroj: Journal of the American Statistical Association; Jun2025, Vol. 120 Issue 550, p1102-1114, 13p

Predmety: FIXED effects model, REINFORCEMENT learning, VALUATION of real property, CRITICAL care medicine, HOMOGENEITY, LATENT variables

Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing.

Autori: Li, Ting Shi, Chengchun Lu, Zhaohua a ďalší

Zdroj: Journal of the American Statistical Association; Sep2024, Vol. 119 Issue 547, p1736-1750, 15p

Predmety: DECISION making, HIGH technology industries, TREATMENT effectiveness, DYNAMIC testing, TEST methods

Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization.

Autori: Shi, Chengchun Qi, Zhengling Wang, Jianing a ďalší

Zdroj: Journal of the American Statistical Association; Sep2024, Vol. 119 Issue 547, p2011-2025, 15p

Predmety: ARTIFICIAL neural networks, REINFORCEMENT learning, INTELLIGENT agents, MOBILE health, MACHINE learning

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning.

Autori: Shi, Chengchun Zhou, Yunzhe Li, Lexin

Zdroj: Journal of the American Statistical Association; Sep2024, Vol. 119 Issue 547, p1833-1846, 14p

Predmety: GENERATIVE adversarial networks, RANDOM variables, TEST methods, HYPOTHESIS

Policy evaluation for temporal and/or spatial dependent experiments.

Autori: Luo, Shikai Yang, Ying Shi, Chengchun a ďalší

Zdroj: Journal of the Royal Statistical Society: Series B (Statistical Methodology); Jul2024, Vol. 86 Issue 3, p623-649, 27p

Predmety: DECISION making, TREATMENT effectiveness, STATISTICS, DATA analysis

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process.

Autori: Shi, Chengchun Zhu, Jin Ye, Shen a ďalší

Zdroj: Journal of the American Statistical Association; Mar2024, Vol. 119 Issue 545, p273-284, 12p

Predmety: MARKOV processes, CONFIDENCE intervals, SYSTEM dynamics, CONFOUNDING variables, REINFORCEMENT learning, INFERENTIAL statistics

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.

Autori: Shi, Chengchun Luo, Shikai Le, Yuan a ďalší

Zdroj: Journal of the American Statistical Association; Mar2024, Vol. 119 Issue 545, p232-245, 14p

Predmety: REINFORCEMENT learning, SCIENTIFIC literature, OPTIMIZATION algorithms, MOBILE health, COMPUTER science, ONLINE algorithms

Deep spectral Q‐learning with application to mobile health.

Autori: Gao, Yuhe Shi, Chengchun Song, Rui

Zdroj: Stat; Dec2023, Vol. 12 Issue 1, p1-16, 16p

Predmety: MOBILE health, MOBILE apps, PRINCIPAL components analysis, MOBILE learning, TIME perspective

Testing for the Markov property in time series via deep conditional generative learning.

Autori: Zhou, Yunzhe Shi, Chengchun Li, Lexin a ďalší

Zdroj: Journal of the Royal Statistical Society: Series B (Statistical Methodology); Sep2023, Vol. 85 Issue 4, p1204-1222, 19p

Predmety: TIME series analysis, NONPARAMETRIC estimation, PROBABILISTIC generative models, DEEP learning, MARKOV processes, APPROXIMATION error

Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework.

Autori: Shi, Chengchun Wang, Xiaoyu Luo, Shikai a ďalší

Zdroj: Journal of the American Statistical Association; Sep2023, Vol. 118 Issue 543, p2059-2071, 13p

Predmety: REINFORCEMENT learning, BUSINESS planning, CAUSAL inference, NEW product development

Korporácia: UBER Technologies Inc.

Carbon Emission Efficiency and Reduction Potential Based on Three-Stage Slacks-Based Measure with Data Envelopment Analysis and Malmquist at the City Scale in Fujian Province, China.

Autori: Wu, Tingting Chen, Junjun Shi, Chengchun a ďalší

Zdroj: Sustainability (2071-1050); Aug2023, Vol. 15 Issue 16, p12363, 15p

Testing Mediation Effects Using Logic of Boolean Matrices.

Autori: Shi, Chengchun Li, Lexin

Zdroj: Journal of the American Statistical Association; Dec2022, Vol. 117 Issue 540, p2014-2027, 14p

Predmety: BOOLEAN matrices, MEDIATION (Statistics), FALSE discovery rate, LOGIC, ALZHEIMER'S disease, ESTIMATION bias, NULL hypothesis

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

Autori: Shi, Chengchun Zhang, Sheng Lu, Wenbin a ďalší

Zdroj: Journal of the Royal Statistical Society: Series B (Statistical Methodology); Jul2022, Vol. 84 Issue 3, p765-793, 29p

Predmety: REINFORCEMENT learning, INFERENTIAL statistics, MACHINE learning, MOBILE health, CONFIDENCE intervals

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation.

Autori: Shi, Chengchun Song, Rui Lu, Wenbin a ďalší

Zdroj: Journal of the American Statistical Association; Sep2021, Vol. 116 Issue 535, p1307-1318, 12p

Predmety: INFERENTIAL statistics, SAMPLE size (Statistics), CONFIDENCE intervals

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects.

Autori: Shi, Chengchun Lu, Wenbin Song, Rui

Zdroj: Journal of the American Statistical Association; Sep2020, Vol. 115 Issue 531, p1201-1213, 13p

Predmety: TREATMENT effectiveness, INDIVIDUALIZED medicine, NONPARAMETRIC statistics, DIMENSION reduction (Statistics)

A Massive Data Framework for M-Estimators with Cubic-Rate.

Autori: Shi, Chengchun Lu, Wenbin Song, Rui

Zdroj: Journal of the American Statistical Association; Dec2018, Vol. 113 Issue 524, p1698-1709, 12p

Predmety: DATA analysis, ESTIMATION theory, SAMPLE size (Statistics), ASYMPTOTIC distribution, SIMULATION methods & models

Influence of Riverbed Incision and Hydrological Evolution on Water Quality and Water Age Based on Numerical Simulation: A Case Study of the Minjiang Estuary.

Autori: Zhang, Peng Li, Lanyimin Wang, Yishu a ďalší

Zdroj: International Journal of Environmental Research & Public Health; Jun2021, Vol. 18 Issue 11, p6138, 1p