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
  • [1] Analysis of Motor Imaginary BCI Within Multi-environment Scenarios Using a Mixture of Classifiers
    Ortega-Adarme, M.
    Moreno-Revelo, M.
    Peluffo-Ordonez, D. H.
    Marin Castrillon, D.
    Castro-Ospina, A. E.
    Becerra, M. A.
    ADVANCES IN COMPUTING, CCC 2017, 2017, 735 : 511 - 523
  • [2] Predictive ability of AMMI and factorial analytical models in the study of unbalanced multi-environment data
    Romao, R. F.
    Nuvunga, J. J.
    Silva, C. P.
    Oliveira, L. A.
    Mendes, C. T. E.
    Balestre, M.
    GENETICS AND MOLECULAR RESEARCH, 2019, 18 (03):
  • [3] Multi-environment prediction of suicidal beliefs
    Goddard, Austin V.
    Su, Audrey Y.
    Xiang, Yu
    Bryan, Craig J.
    FRONTIERS IN PSYCHIATRY, 2024, 15
  • [4] Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models
    Filipe Couto Alves
    Giovanni Galli
    Filipe Inácio Matias
    Miriam Suzane Vidotti
    Júlia Silva Morosini
    Roberto Fritsche-Neto
    Euphytica, 2021, 217
  • [5] Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models
    Alves, Filipe Couto
    Galli, Giovanni
    Matias, Filipe Inacio
    Vidotti, Miriam Suzane
    Morosini, Julia Silva
    Fritsche-Neto, Roberto
    EUPHYTICA, 2021, 217 (03)
  • [6] An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based Prediction
    Montesinos-Lopez, Osval A.
    Montesinos-Lopez, Abelardo
    Javier Luna-Vazquez, Francisco
    Toledo, Fernando H.
    Perez-Rodriguez, Paulino
    Lillemo, Morten
    Crossa, Jose
    G3-GENES GENOMES GENETICS, 2019, 9 (05): : 1355 - 1369
  • [7] Mixed model formulations for multi-environment trials
    Basford, KE
    Federer, WT
    DeLacy, IH
    AGRONOMY JOURNAL, 2004, 96 (01) : 143 - 147
  • [8] Genomic Selection in Multi-environment Crop Trials
    Oakey, Helena
    Cullis, Brian
    Thompson, Robin
    Comadran, Jordi
    Halpin, Claire
    Waugh, Robbie
    G3-GENES GENOMES GENETICS, 2016, 6 (05): : 1313 - 1326
  • [9] MEVO: Multi-Environment Stereo Visual Odometry
    Koletschka, Thomas
    Puig, Luis
    Daniilidis, Kostas
    2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 4981 - 4988
  • [10] Advances in crop phenotyping and multi-environment trials
    Liu, Zhe
    Zhang, Fan
    Ma, Qin
    An, Dong
    Li, Lin
    Zhang, Xiaodong
    Zhu, Dehai
    Li, Shaoming
    FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING, 2015, 2 (01) : 28 - 37
12345