Results 31 to 40 of about 1,223,755 (370)
Maximum likelihood estimation in Gaussian models under total positivity [PDF]
Annals of Statistics, 2017 We analyze the problem of maximum likelihood estimation for Gaussian distributions that are multivariate totally positive of order two (MTP2). By exploiting connections to phylogenetics and single-linkage clustering, we give a simple proof that the ...
S. Lauritzen +2 more
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Nonparametric Sieve Maximum Likelihood Estimation of Semi-Competing Risks Data
Mathematics, 2022 In biomedical studies involving time-to-event data, a subject may experience distinct types of events. We consider the problem of estimating the transition functions for a semi-competing risks model under illness-death model framework.
Xifen Huang, Jinfeng Xu
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Maximum-likelihood method in quantum estimation [PDF]
, 2001 The maximum-likelihood method for quantum estimation is reviewed and applied to the reconstruction of density matrix of spin and radiation as well as to the determination of several parameters of interest in quantum optics.Comment: 12 pages, 4 ...
D'Ariano, G. M. +2 more
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Disjoint Tree Mergers for Large-Scale Maximum Likelihood Tree Estimation
Algorithms, 2021 The estimation of phylogenetic trees for individual genes or multi-locus datasets is a basic part of considerable biological research. In order to enable large trees to be computed, Disjoint Tree Mergers (DTMs) have been developed; these methods operate ...
Minhyuk Park +2 more
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Symbolic Maximum Likelihood Estimation with Mathematica [PDF]
, 1999 Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and ...
Rose, Colin, Smith, Murray D.
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Estimation of servo-system parameters using maximum likelihood method
Vojnotehnički Glasnik, 1998 The problem of estimation of servo system parameters that cannot be measured is solved. Unknown parameters are estimated using system response measurements. A special discrete, recursive and iterative form of maximum likelihood method is presented.
Nenad Dodić
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Maximum Likelihood Estimation for Linear Gaussian Covariance Models [PDF]
, 2016 We study parameter estimation in linear Gaussian covariance models, which are $p$-dimensional Gaussian models with linear constraints on the covariance matrix.
Richards, Donald +2 more
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Jackknifing Maximum Likelihood Estimates
The Annals of Statistics, 1978 This paper proves the apparently outstanding conjecture that the maximum likelihood estimate (m.l.e.) "behaves properly" when jackknifed. In particular, under the usual Cramer conditions (1) the jackknifed version of the consistent root of the m.l.
openaire +3 more sources
Hedged maximum likelihood estimation
, 2010 This paper proposes and analyzes a new method for quantum state estimation, called hedged maximum likelihood (HMLE). HMLE is a quantum version of Lidstone's Law, also known as the "add beta" rule.
Blume-Kohout, Robin
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Maximum likelihood estimation for semiparametric transformation models with interval-censored data [PDF]
Biometrika, 2016 Interval censoring arises frequently in clinical, epidemiological, financial and sociological studies, where the event or failure of interest is known only to occur within an interval induced by periodic monitoring.
D. Zeng, L. Mao, Danyu Lin
semanticscholar +1 more source