Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

被引：0
|
作者：
Mickael Guedj
Stephane Robin
Alain Celisse
Gregory Nuel
机构：
[1] University of Evry,Statistics and Genome laboratory, CNRS UMR8071, INRA U1152
[2] AgroParisTech,undefined
[3] Statistics and Genome group,undefined
[4] UMR INRA 518,undefined
[5] University Paris Descartes,undefined
[6] MAP5,undefined
[7] UMR CNRS 8145,undefined
[8] Statistics for Systems Biology Group,undefined
来源：
BMC Bioinformatics | / 10卷
关键词：
False Discovery Rate; Kernel Estimator; Alternative Distribution; True Null Hypothesis; Local False Discovery Rate;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [21] Kernel-based local order estimation of nonlinear nonparametric systems
    Zhao, Wenxiao
    Chen, Han-Fu
    Bai, Er-wei
    Li, Kang
    AUTOMATICA, 2015, 51 : 243 - 254
  • [22] Semi-parametric estimation of ROC curves based on binomial regression modelling
    Lloyd, CJ
    AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2002, 44 (01) : 75 - 86
  • [23] spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R
    Culp, Mark
    JOURNAL OF STATISTICAL SOFTWARE, 2011, 40 (10): : 1 - 29
  • [24] System failure estimation based on field data and semi-parametric modeling
    Valis, David
    Pokora, Ondrej
    Kolacek, Jan
    ENGINEERING FAILURE ANALYSIS, 2019, 101 : 473 - 484
  • [25] Less Volatile Value-at-Risk Estimation Under a Semi-parametric Approach
    Huang, Shih-Feng
    Wang, David K.
    ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, 2023, 52 (03) : 374 - 393
  • [26] Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons
    Di Cecco, Davide
    Tancredi, Andrea
    Tuoto, Tiziana
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2024, 73 (04) : 990 - 1007
  • [27] Local false discovery rate estimation with competition-based procedures for variable selection
    Sun, Xiaoya
    Fu, Yan
    STATISTICS IN MEDICINE, 2024, 43 (01) : 61 - 88
  • [28] A Kernel-Density based Semi-Parametric stochastic degradation model with dependent increments
    Lin, Kunsong
    Wang, Yutong
    Chen, Yunxia
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 161
  • [29] Optimal False Discovery Rate Control with Kernel Density Estimation in a Microarray Experiment
    Kang, Moonsu
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2016, 45 (03) : 771 - 780
  • [30] A New Model Selection Approach to Hybrid Kernel-Based Estimation
    Scampicchio, Anna
    Pillonetto, Gianluigi
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 3068 - 3073
12345