Results 41 to 50 of about 4,185 (251)
Variable selection and subgroup analysis for high-dimensional censored data
Statistical Theory and Related FieldsThis paper proposes a penalized method for high-dimensional variable selection and subgroup identification in the Tobit model. Based on Olsen's [(1978). Note on the uniqueness of the maximum likelihood estimator for the Tobit model. Econometrica: Journal
Yu Zhang, Jiangli Wang, Weiping Zhang
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Advanced Science, EarlyView.Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai +9 more
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Revocable Signature Scheme with Implicit and Explicit Certificates
Entropy, 2023 This paper addresses the certificate revocation problem and proposes the first revocable pairing-based signature scheme with implicit and explicit certificates (IE-RCBS-kCAA).
Jerzy Pejaś +2 more
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Group variable selection via a hierarchical lasso and its oracle property [PDF]
Statistics and Its Interface, 2010 43 pages, 2 ...
Zhou, Nengfeng, Zhu, Ji
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Advanced Science, EarlyView.An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source
Varying Index Coefficient Model for Tail Index Regression
MathematicsInvestigating the causes of extreme events is crucial across various fields. However, existing asymptotic theoretical models often lack flexibility and fail to capture the complex dependency structures inherent in extreme events.
Hongyu An, Boping Tian
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An oracle property of the Nadaraya–Watson kernel estimator for high‐dimensional nonparametric regression [PDF]
Scandinavian Journal of Statistics, 2018 AbstractThe Nadaraya–Watson estimator is among the most studied nonparametric regression methods. A classical result is that its convergence rate depends on the number of covariates and deteriorates quickly as the dimension grows. This underscores the “curse of dimensionality” and has limited its use in high‐dimensional settings. In this paper, however,
Daniel Conn, Gang Li
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Wetting‐Driven Transfer of Flexible Ultra‐Thin Temperature Sensors
Advanced Electronic Materials, EarlyView.A wetting‐driven transfer approach enables ultra‐thin temperature sensors to be transferred from a super‐hydrophilic donor substrate onto rigid, curved, and biological receiver substrates. By combining controlled wetting with a conformal Parylene carrier layer, the method preserves stable thermal sensing performance while expanding the integration of ...
Hafiza Faiqa Maqsood +5 more
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Efficient Estimation and Response Variable Selection in Sparse Partial Envelope Model
MathematicsIn this paper, we propose a sparse partial envelope model that performs response variable selection efficiently under the partial envelope model.
Yu Wu, Jing Zhang
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Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate
Advanced Electronic Materials, EarlyView.Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino +14 more
wiley +1 more source