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Maximum likelihood estimators for colony-forming units [PDF]
Microbiology SpectrumMeasuring 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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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships [PDF]
Genetics Selection EvolutionBackground 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.
PLoS ONE, 2021 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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Barekeng, 2022 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]
Atmospheric Measurement Techniques, 2015 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
Entropy, 2021 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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Maximum Likelihood Supertrees [PDF]
Systematic Biology, 2008 We analyse a maximum-likelihood approach for combining phylogenetic trees into a larger `supertree'. This is based on a simple exponential model of phylogenetic error, which ensures that ML supertrees have a simple combinatorial description (as a median tree, minimising a weighted sum of distances to the input trees).
Steel, Michael, Rodrigo, Allen
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Maximum Likelihood Identification of Dual-rate Hammerstein Systems
Nantong Daxue xuebao. Ziran kexue ban, 2021 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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Physical Review Research, 2023 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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Vestige: Maximum likelihood phylogenetic footprinting
BMC Bioinformatics, 2005 Background Phylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from multiple species and identifying the DNA regions that have diverged less ...
Maxwell Peter +2 more
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