 Likelihood Functions
"Likelihood Functions" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.
| Descriptor ID |
D016013
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| MeSH Number(s) |
E05.318.740.500.475 E05.318.740.600.400 E05.599.835.500 N05.715.360.750.530.450 N05.715.360.750.625.450 N06.850.520.830.500.475 N06.850.520.830.600.400
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| Concept/Terms |
Likelihood Functions- Likelihood Functions
- Function, Likelihood
- Functions, Likelihood
- Likelihood Function
Maximum Likelihood Estimates- Maximum Likelihood Estimates
- Estimate, Maximum Likelihood
- Estimates, Maximum Likelihood
- Maximum Likelihood Estimate
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Below are MeSH descriptors whose meaning is more general than "Likelihood Functions".
Below are MeSH descriptors whose meaning is more specific than "Likelihood Functions".
This graph shows the total number of publications written about "Likelihood Functions" by people in this website by year, and whether "Likelihood Functions" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1984 | 0 | 1 | 1 | | 1991 | 0 | 1 | 1 | | 1992 | 0 | 1 | 1 | | 1994 | 1 | 4 | 5 | | 1995 | 0 | 4 | 4 | | 1996 | 0 | 2 | 2 | | 1997 | 1 | 2 | 3 | | 1998 | 0 | 2 | 2 | | 1999 | 0 | 7 | 7 | | 2000 | 0 | 11 | 11 | | 2001 | 1 | 8 | 9 | | 2002 | 0 | 7 | 7 | | 2003 | 0 | 8 | 8 | | 2004 | 1 | 13 | 14 | | 2005 | 0 | 9 | 9 | | 2006 | 0 | 10 | 10 | | 2007 | 3 | 9 | 12 | | 2008 | 0 | 14 | 14 | | 2009 | 1 | 9 | 10 | | 2010 | 0 | 8 | 8 | | 2011 | 1 | 8 | 9 | | 2012 | 0 | 9 | 9 | | 2013 | 1 | 9 | 10 | | 2014 | 1 | 16 | 17 | | 2015 | 0 | 9 | 9 | | 2016 | 0 | 8 | 8 | | 2017 | 0 | 4 | 4 | | 2018 | 0 | 1 | 1 | | 2020 | 0 | 2 | 2 |
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Below are the most recent publications written about "Likelihood Functions" by people in Profiles.
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Hamm CA, Hampe O, Schwarz D, Witzmann F, Makovicky PJ, Brochu CA, Reiter R, Asbach P. A comprehensive diagnostic approach combining phylogenetic disease bracketing and CT imaging reveals osteomyelitis in a Tyrannosaurus rex. Sci Rep. 2020 11 03; 10(1):18897.
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Zhou X, Im HK, Lee SH. CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses. Nat Commun. 2020 08 21; 11(1):4208.
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Kyriazis CC, Alam B, Wjodyla M, Hackett S, Hosner P, Mays HL, Heaney LR, Reddy S. Colonization and diversification of the white-browed shortwing (Aves: Muscicapidae: Brachypteryx montana) in the Philippines. Mol Phylogenet Evol. 2018 04; 121:121-131.
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Qiu M, Boland MV, Ramulu PY. Cup-to-Disc Ratio Asymmetry in U.S. Adults: Prevalence and Association with Glaucoma in the 2005-2008 National Health and Nutrition Examination Survey. Ophthalmology. 2017 08; 124(8):1229-1236.
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Longo SJ, Faircloth BC, Meyer A, Westneat MW, Alfaro ME, Wainwright PC. Phylogenomic analysis of a rapid radiation of misfit fishes (Syngnathiformes) using ultraconserved elements. Mol Phylogenet Evol. 2017 08; 113:33-48.
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Eick GN, Bridgham JT, Anderson DP, Harms MJ, Thornton JW. Robustness of Reconstructed Ancestral Protein Functions to Statistical Uncertainty. Mol Biol Evol. 2017 02 01; 34(2):247-261.
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Cole AM, Cox S, Jeong C, Petousi N, Aryal DR, Droma Y, Hanaoka M, Ota M, Kobayashi N, Gasparini P, Montgomery H, Robbins P, Di Rienzo A, Cavalleri GL. Genetic structure in the Sherpa and neighboring Nepalese populations. BMC Genomics. 2017 01 19; 18(1):102.
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Voisin DR, Quinn K, Kim DH, Schneider J. A Longitudinal Analysis of Antiretroviral Adherence Among Young Black Men Who Have Sex With Men. J Adolesc Health. 2017 Apr; 60(4):411-416.
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Jewett EM, Steinrücken M, Song YS. The Effects of Population Size Histories on Estimates of Selection Coefficients from Time-Series Genetic Data. Mol Biol Evol. 2016 11; 33(11):3002-3027.
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Williams RC, Elston RC, Kumar P, Knowler WC, Abboud HE, Adler S, Bowden DW, Divers J, Freedman BI, Igo RP, Ipp E, Iyengar SK, Kimmel PL, Klag MJ, Kohn O, Langefeld CD, Leehey DJ, Nelson RG, Nicholas SB, Pahl MV, Parekh RS, Rotter JI, Schelling JR, Sedor JR, Shah VO, Smith MW, Taylor KD, Thameem F, Thornley-Brown D, Winkler CA, Guo X, Zager P, Hanson RL. Selecting SNPs informative for African, American Indian and European Ancestry: application to the Family Investigation of Nephropathy and Diabetes (FIND). BMC Genomics. 2016 05 04; 17:325.
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