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Maximum likelihood estimators for colony-forming units [PDF]
Measuring the abundance of microbes in a sample is a common procedure with a long history, but best practices are not well-conserved across microbiological fields. Serial dilution methods are commonly used to dilute bacterial cultures to produce countable
K. Michael Martini +3 more
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New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0 [PDF]
Jean-François Dufayard +2 more
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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships [PDF]
Background The theory of “metafounders” proposes a unified framework for relationships across base populations within breeds (e.g. unknown parent groups), and base populations across breeds (crosses) together with a sensible compatibility with genomic ...
Andres Legarra +3 more
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Semiparametric maximum likelihood probability density estimation.
A comprehensive methodology for semiparametric probability density estimation is introduced and explored. The probability density is modelled by sequences of mostly regular or steep exponential families generated by flexible sets of basis functions ...
Frank Kwasniok
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The multilevel regression model is a development of the linear regression model that can be used to analyze data that has a hierarchical structure.
Vera Maya Santi +2 more
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Maximum likelihood representation of MIPAS profiles [PDF]
In order to avoid problems connected with the content of a priori information in volume mixing ratio vertical profiles measured with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), a user-friendly representation of the data has ...
T. von Clarmann +2 more
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Solving Schrödinger Bridges via Maximum Likelihood
The Schrödinger bridge problem (SBP) finds the most likely stochastic evolution between two probability distributions given a prior stochastic evolution.
Francisco Vargas +3 more
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Convergence of maximum likelihood supertree reconstruction
Supertree methods are tree reconstruction techniques that combine several smaller gene trees (possibly on different sets of species) to build a larger species tree.
Vu Dinh, Lam Si Tung Ho
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Maximum Likelihood Identification of Dual-rate Hammerstein Systems
Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
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Given the recent developments in quantum techniques, modeling the physical Hamiltonian of a target quantum many-body system is becoming an increasingly practical and vital research direction.
Tian-Lun Zhao, Shi-Xin Hu, Yi Zhang
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