Predictive Inference in Multi-environment Scenarios

被引：0
|
作者：
Department of Statistics, Department of Electrical Engineering, Stanford University, Stanford [1 ]
94305, United States
不详 [2 ]
94085, United States
不详 [3 ]
02138, United States
机构：
来源：
arXiv |
关键词：
AND splits - Confidence interval - Confidence sets - Conformal methods - Conformal predictions - Distribution-free - Distribution-free inference - Hierarchical sampling - Multi-environments - Predictive inferences;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
36
引用
收藏
相关论文
共 50 条
  • [41] DBQA: Multi-Environment Analyzer for Query Execution Time and Cost
    Misal, S. B.
    Yannawar, P. L.
    Gaikwad, A. T.
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 1050 - 1055
  • [42] A mixed model analysis of variance for multi-environment variety trials
    T. Caliński
    S. Czajka
    Z. Kaczmarek
    P. Krajewski
    W. Pilarczyk
    Statistical Papers, 2009, 50 : 735 - 759
  • [43] A stage-wise approach for the analysis of multi-environment trials
    Piepho, Hans-Peter
    Moehring, Jens
    Schulz-Streeck, Torben
    Ogutu, Joseph O.
    BIOMETRICAL JOURNAL, 2012, 54 (06) : 844 - 860
  • [44] Biplot analysis of multi-environment trial data: Principles and applications
    Yan, Weikai
    Tinker, Nicholas A.
    CANADIAN JOURNAL OF PLANT SCIENCE, 2006, 86 (03) : 623 - 645
  • [45] SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
    Zhong, Victor
    Hanjie, Austin W.
    Wang, Sida I.
    Narasimhan, Karthik
    Zettlemoyer, Luke
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [46] A mixed model analysis of variance for multi-environment variety trials
    Calinski, T.
    Czajka, S.
    Kaczmarek, Z.
    Krajewski, P.
    Pilarczyk, W.
    STATISTICAL PAPERS, 2009, 50 (04) : 735 - 759
  • [47] Multi-environment Genomic Selection in Rice Elite Breeding Lines
    Van Hieu Nguyen
    Rose Imee Zhella Morantte
    Vitaliano Lopena
    Holden Verdeprado
    Rosemary Murori
    Alexis Ndayiragije
    Sanjay Kumar Katiyar
    Md Rafiqul Islam
    Roselyne Uside Juma
    Hayde Flandez-Galvez
    Jean-Christophe Glaszmann
    Joshua N. Cobb
    Jérôme Bartholomé
    Rice, 2023, 16
  • [48] Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials
    Jarquin, Diego
    Howard, Reka
    Crossa, Jose
    Beyene, Yoseph
    Gowda, Manje
    Martini, Johannes W. R.
    Covarrubias Pazaran, Giovanny
    Burgueno, Juan
    Pacheco, Angela
    Grondona, Martin
    Wimmer, Valentin
    Prasanna, Boddupalli M.
    G3-GENES GENOMES GENETICS, 2020, 10 (08): : 2725 - 2739
  • [49] Study on multi-environment factor monitoring system of the livestock breeding
    Yu, X. (neaufish@163.com), 2013, International Frequency Sensor Association, 46 Thorny Vineway, Toronto, ON M2J 4J2, Canada (159):
  • [50] Multi-Environment and Multi-Year Bayesian Analysis Approach in Coffee canephora
    Covre, Andre Monzoli
    da Silva, Flavia Alves
    Oliosi, Gleison
    Correa, Caio Cezar Guedes
    Viana, Alexandre Pio
    Partelli, Fabio Luiz
    PLANTS-BASEL, 2022, 11 (23):
12345