المؤلفون: Ahmed, Hanan, Einmahl, John, Zhou, Chen

المصدر: Ahmed , H , Einmahl , J & Zhou , C 2024 , ' Extreme value statistics in semi-supervised models ' , Journal of the American Statistical Association . https://doi.org/10.2139/ssrn.3795972 , https://doi.org/10.1080/01621459.2024.2333582

مصطلحات موضوعية: asymptotic normality, extreme value index, semi-supervised inference, tail dependence, variance reduction

الاتاحة: https://research.tilburguniversity.edu/en/publications/50530b9e-cf35-47bd-9297-461010bd2909
https://doi.org/10.2139/ssrn.3795972

المؤلفون: Zhang, Yuqian

مصطلحات موضوعية: Statistics, Causal Inference, Double Robustness, High-dimensional Statistics, Missing Data, Semi-supervised Inference

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/2841f4kd

المؤلفون: Einmahl, John, Peng, Liang

المصدر: Einmahl , J & Peng , L 2024 ' Variance-Reduced Risk Inference in Semi-Supervised Settings ' CentER Discussion Paper , vol. 2024-024 , CentER, Center for Economic Research , Tilburg , pp. 1-17 .

مصطلحات موضوعية: Estimating equation, risk measure, Semi-supervised inference, variance reduction

وصف الملف: application/pdf

الاتاحة: https://research.tilburguniversity.edu/en/publications/970231c1-c8e0-4f52-a0a4-fe7b74063c2d
https://pure.uvt.nl/ws/files/106408112/2024-024.pdf

المؤلفون: Ahmed, Hanan, Einmahl, John, Zhou, Chen

المساهمون: Center Ph. D. Students, Research Group: Econometrics, Econometrics and Operations Research

مصطلحات موضوعية: tail dependence, extreme value index, variance reduction, Asymptotic normality, semi-supervised inference

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=narcis______::d24c043ab8ca8ecaa9c534417b5e6c48
https://research.tilburguniversity.edu/en/publications/ad83a546-fb09-408e-80cc-b4b2db763d37

مصطلحات موضوعية: tail dependence, extreme value index, variance reduction, Asymptotic normality, semi-supervised inference

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dris___01181::0118b1c0e00047e1f739ab5b2af93f23
https://research.tilburguniversity.edu/en/publications/ad83a546-fb09-408e-80cc-b4b2db763d37

مصطلحات موضوعية: tail dependence, extreme value index, variance reduction, Asymptotic normality, semi-supervised inference

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dris___00893::a89d5f97eedb90d3bc4b20d9208ad946

المؤلفون: T. Tony Cai, Anru Zhang, Lawrence D. Brown

المصدر: Ann. Statist. 47, no. 5 (2019), 2538-2566

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Asymptotic distribution, Inference, semi-supervised inference, Mathematics - Statistics Theory, Machine Learning (stat.ML), Sample (statistics), Statistics Theory (math.ST), 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, 62J05, 62G08, Statistics - Machine Learning, Covariate, FOS: Mathematics, Applied mathematics, 0101 mathematics, Finite set, Statistics - Methodology, Mathematics, Confidence interval, Nonparametric statistics, Estimator, estimation of mean, efficiency, Statistics, Probability and Uncertainty, 62F12, limiting distribution, 62F10

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2bb33ff94f9733a76399d2cb4533d0
https://doi.org/10.1214/18-aos1756

المؤلفون: Zhang, Anru, Brown, Lawrence D., Cai, T. Tony

مصطلحات موضوعية: Confidence interval, efficiency, estimation of mean, limiting distribution, semi-supervised inference, 62F10, 62J05, 62F12, 62G08

وصف الملف: application/pdf

Relation: https://projecteuclid.org/euclid.aos/1564797856; Ann. Statist. 47, no. 5 (2019), 2538-2566

الاتاحة: https://projecteuclid.org/euclid.aos/1564797856
https://doi.org/10.1214/18-AOS1756

المؤلفون: 解巽評, Hsieh, Hsun-Ping

المساهمون: 電機資訊學院: 資訊網路與多媒體研究所, 指導教授: 林守德, 解巽評, Hsieh, Hsun-Ping

مصطلحات موضوعية: 感測器值推估, 城市計算, 城市動態, 感測器配置, 地點推薦, 半監督式推估模型, 巨量城市資料, 物聯網, 空氣品質, sensor value inference, urban computing, city dynamics, sensor deployment, location recommendation, semi-supervised inference, urban big data, Internet of Things, air quality

Time: 81

وصف الملف: 2209580 bytes; application/pdf

Relation: http://ntur.lib.ntu.edu.tw/handle/246246/275696; http://ntur.lib.ntu.edu.tw/bitstream/246246/275696/1/ntu-104-D98944006-1.pdf

الاتاحة: http://ntur.lib.ntu.edu.tw/handle/246246/275696
http://ntur.lib.ntu.edu.tw/bitstream/246246/275696/1/ntu-104-D98944006-1.pdf