Minimax bounds for estimation of normal mixtures

Arlene K.H. Kim

doi:10.3150/13-bej542

Minimax bounds for estimation of normal mixtures

Bernoulli ◽

10.3150/13-bej542 ◽

2014 ◽

Vol 20 (4) ◽

pp. 1802-1818 ◽

Cited By ~ 3

Author(s):

Arlene K.H. Kim

Keyword(s):

Normal Mixtures ◽

Minimax Bounds

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A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2009.05.006 ◽

2009 ◽

Vol 53 (12) ◽

pp. 3932-3947 ◽

Cited By ~ 19

Author(s):

Arnošt Komárek

Keyword(s):

Bayesian Estimation ◽

Censored Data ◽

R Package ◽

Interval Censored Data ◽

Multivariate Normal ◽

Normal Mixtures ◽

Number Of Components ◽

Interval Censored ◽

Selection Of ◽

Multivariate Normal Mixtures

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Robust estimation for the covariance matrix of multivariate time series based on normal mixtures

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2012.06.012 ◽

2013 ◽

Vol 57 (1) ◽

pp. 125-140 ◽

Cited By ~ 12

Author(s):

Byungsoo Kim ◽

Sangyeol Lee

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Robust Estimation ◽

Multivariate Time Series ◽

Normal Mixtures

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A Kernel Goodness-of-fit Test for Maximum Likelihood Density Estimates of Normal Mixtures

Springer Proceedings in Mathematics & Statistics - Nonparametric Statistics ◽

10.1007/978-3-030-57306-5_7 ◽

2020 ◽

pp. 67-76

Author(s):

Dimitrios Bagkavos ◽

Prakash N. Patil

Keyword(s):

Maximum Likelihood ◽

Goodness Of Fit ◽

Goodness Of Fit Test ◽

Density Estimates ◽

Normal Mixtures

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A Machine Learning Approach to the Vector Prediction of Moments of Finite Normal Mixtures

Advances in Intelligent Systems and Computing - Advances in Intelligent Systems, Computer Science and Digital Economics ◽

10.1007/978-3-030-39216-1_27 ◽

2020 ◽

pp. 307-314

Author(s):

Andrey Gorshenin ◽

Victor Kuzmin

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Normal Mixtures ◽

Machine Learning Approach

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Locally optimal tests for no contamination in standard symmetric multivariate normal mixtures

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(92)90129-g ◽

1991 ◽

Vol 29 (1-2) ◽

pp. 145-155 ◽

Cited By ~ 7

Author(s):

Ashis SenGupta ◽

ChandraNath Pal

Keyword(s):

Multivariate Normal ◽

Normal Mixtures ◽

Optimal Tests ◽

Multivariate Normal Mixtures

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Distribution of German Stock Returns Normal Mixtures Revisited

Mathematische Methoden der Wirtschaftswissenschaften ◽

10.1007/978-3-662-12433-8_25 ◽

1999 ◽

pp. 272-281 ◽

Cited By ~ 3

Author(s):

Friedrich Schmid ◽

Andreas Stich

Keyword(s):

Stock Returns ◽

Normal Mixtures ◽

German Stock

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Design with normal mixtures

Advanced Information and Knowledge Processing - Optimized Bayesian Dynamic Advising ◽

10.1007/1-84628-254-3_9 ◽

2005 ◽

pp. 309-376

Keyword(s):

Normal Mixtures

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The multidimensional truncated moment problem: Gaussian and log-normal mixtures, their Carathéodory numbers, and set of atoms

Proceedings of the American Mathematical Society ◽

10.1090/proc/14499 ◽

2019 ◽

Vol 147 (7) ◽

pp. 3021-3038

Author(s):

Philipp J. di Dio

Keyword(s):

Moment Problem ◽

Normal Mixtures ◽

Truncated Moment Problem ◽

Log Normal

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THE APPLICABILITY OF THE ISOHYDRIC PRINCIPLE TO TENTH-NORMAL MIXTURES OF HYDROCHLORIC ACID AND POTASSIUM CHLORIDE.1

Journal of the American Chemical Society ◽

10.1021/ja02251a004 ◽

1917 ◽

Vol 39 (6) ◽

pp. 1133-1139 ◽

Cited By ~ 2

Author(s):

N. Edward Loomis ◽

J. L. Essex ◽

Merle R. Meacham

Keyword(s):

Hydrochloric Acid ◽

Potassium Chloride ◽

Normal Mixtures

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Smooth estimates of normal mixtures

Canadian Journal of Statistics ◽

10.2307/3315964 ◽

2000 ◽

Vol 28 (3) ◽

pp. 551-562 ◽

Cited By ~ 1

Author(s):

Barbara Tong ◽

Kert Viele

Keyword(s):

Normal Mixtures

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