Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation\ast

被引:0
|
作者
Amendola, Carlos [1 ]
Kohn, Kathlen [2 ]
Reichenbach, Philipp [1 ]
Seigal, Anna [3 ]
机构
[1] Tech Univ Berlin, D-10623 Berlin, Germany
[2] KTH Royal Inst Technol, S-10044 Stockholm, Sweden
[3] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
来源
基金
欧洲研究理事会;
关键词
maximum likelihood estimation; group actions; null cone; scaling algorithms; Gaussian models; graphical models;
D O I
10.1137/23M1588317
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We clarify and correct Remark 2.4 from [C. Ame'\ndola, K. Kohn, P. Reichenbach, and A. Seigal, SIAM J. Appl. Algebra Geom., 5 (2021), pp. 304--337], and we accordingly discuss Remark 3.11 and alter the proof of Theorem 4.1. Furthermore, we adjust an argument given in the appendix. The statements of all results remain unchanged.
引用
收藏
页码:460 / 463
页数:4
相关论文
共 50 条
  • [21] Maximum likelihood difference scaling
    Maloney, LT
    Yang, JN
    JOURNAL OF VISION, 2003, 3 (08): : 573 - 585
  • [22] Maximum likelihood estimation of optimal scaling factors for expression array normalization
    Hartemink, AJ
    Gifford, DK
    Jaakkola, TS
    Young, RA
    MICROARRAYS: OPTICAL TECHNOLOGIES AND INFORMATICS, 2001, 4266 : 132 - 140
  • [23] MAXIMUM LIKELIHOOD ESTIMATION
    GARAGORR.F
    AMERICAN STATISTICIAN, 1974, 28 (02): : 74 - 74
  • [24] A maximum likelihood function approach to direction estimation based on evolutionary algorithms
    Qiang, Y
    Wu, LL
    Jiao, LC
    ICCIMA 2003: FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS, 2003, : 27 - 31
  • [25] Application of natural computing algorithms to maximum likelihood estimation of direction of arrival
    Boccato, Levy
    Krummenauer, Rafael
    Attux, Romis
    Lopes, Amauri
    SIGNAL PROCESSING, 2012, 92 (05) : 1338 - 1352
  • [26] Maximum likelihood joint channel and data estimation using genetic algorithms
    Chen, S
    Wu, Y
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (05) : 1469 - 1473
  • [27] Deep Learning Algorithms for Diagnosis of Breast Cancer with Maximum Likelihood Estimation
    Cifci, Mehmet Akif
    Aslan, Zafer
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT II, 2020, 12250 : 486 - 502
  • [28] Partitioned algorithms for maximum likelihood and other non-linear estimation
    Smyth, GK
    STATISTICS AND COMPUTING, 1996, 6 (03) : 201 - 216
  • [29] Efficient maximum likelihood algorithms
    Shin, TS
    Marasinghe, MG
    DIMENSION REDUCTION, COMPUTATIONAL COMPLEXITY AND INFORMATION, 1998, 30 : 456 - 461
  • [30] MAXIMUM SMOOTHED LIKELIHOOD ESTIMATION AND SMOOTHED MAXIMUM LIKELIHOOD ESTIMATION IN THE CURRENT STATUS MODEL
    Groeneboom, Piet
    Jongbloed, Geurt
    Witte, Birgit I.
    ANNALS OF STATISTICS, 2010, 38 (01): : 352 - 387