Results 211 to 220 of about 620,264 (256)

Maximum-likelihood crystallization

Journal of Structural Biology, 2003
The crystallization facility of the TB Structural Genomics Consortium, one of nine NIH-sponsored structural genomics pilot projects, employs a combinatorial random sampling technique in high-throughput crystallization screening. Although data are still sparse and a comprehensive analysis cannot be performed at this stage, preliminary results appear to ...
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Constrained Maximum Likelihood

Computational Economics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Maximum Likelihood Phylodynamic Analysis

2018
Die Anzahl der verfügbaren Genomsequenzen für verschiedene Pathogene hat in den letzten Jahren ausserordentlich zugenommen. Bestehende tradi- tionelle Methoden für die phylodynamische Analyse sind nicht effizient für eine große Anzahl von Sequenzen. Um mit den heute verfügbaren Daten- sätzen umzugehen, sind effiziente Heuristiken notwendig.
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Maximum Likelihood Multivariate Calibration

Analytical Chemistry, 1997
Two new approaches to multivariate calibration are described that, for the first time, allow information on measurement uncertainties to be included in the calibration process in a statistically meaningful way. The new methods, referred to as maximum likelihood principal components regression (MLPCR) and maximum likelihood latent root regression (MLLRR)
P D, Wentzell, D T, Andrews, B R, Kowalski   +2 more
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Maximum likelihood for parasitologists

Parasitology Today, 1994
In quantitative biology, observed data are fitted to a model that captures the essence of the system under investigation in order to obtain estimates of the parameters of the model, as well as their standard errors and interactions. The fitting is best done by the method of maximum likelihood, though least-squares fits are often used as an ...
B G, Williams, C, Dye
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Maximum likelihood scaling (MALS)

Journal of Chemometrics, 2006
AbstractA filtering procedure is introduced for multivariate data that does not suffer from noise amplification by scaling. A maximum likelihood principal component analysis (MLPCA) step is used as a filter that partly removes noise. This filtering can be used prior to any subsequent scaling and multivariate analysis of the data and is especially ...
Hoefsloot, H.C.J., Verouden, M.P.H., Westerhuis, J.A., Smilde, A.K.   +3 more
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Robust Maximum Likelihood Estimation

INFORMS Journal on Computing, 2019
In many applications, statistical estimators serve to derive conclusions from data, for example, in finance, medical decision making, and clinical trials. However, the conclusions are typically dependent on uncertainties in the data. We use robust optimization principles to provide robust maximum likelihood estimators that are protected against data ...
Dimitris Bertsimas, Omid Nohadani
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Maximum likelihood stereo matching

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. In this paper we present a novel method of applying maximum likelihood to stereo matching.
Sebe, Niculae, M. S. Lew
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Maximum Likelihood

2013
A. Yuan, N. Jeffries, G. Zheng
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Maximum Likelihood

2021
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