Results 291 to 300 of about 1,992,313 (335)
Some of the next articles are maybe not open access.
2007
Abstract When dealing with selection processes, statisticians are faced with a predicament. If scorecards are developed using historical performance, how can rejects with no performance be assessed? The problem is best, and often, illustrated by applicants with derogatory information on file, which violates policy reject rules, such as ...
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Abstract When dealing with selection processes, statisticians are faced with a predicament. If scorecards are developed using historical performance, how can rejects with no performance be assessed? The problem is best, and often, illustrated by applicants with derogatory information on file, which violates policy reject rules, such as ...
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2016
Molecular evolution can reveal the relationship between sets of homologous sequences and the patterns of change that occur during their evolution. An important aspect of these studies is the inference of a phylogenetic tree, which explicitly describes evolutionary relationships between homologous sequences.
Simon, Whelan, David A, Morrison
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Molecular evolution can reveal the relationship between sets of homologous sequences and the patterns of change that occur during their evolution. An important aspect of these studies is the inference of a phylogenetic tree, which explicitly describes evolutionary relationships between homologous sequences.
Simon, Whelan, David A, Morrison
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Operations Research, 1965
We consider a model for dynamic uncertain processes that affords considerably more generality of formulation than do Markovian models or their derivatives. The underlying statistical parameters of a stochastic process that produces observable outputs are themselves allowed to change at times generated by another stochastic process.
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We consider a model for dynamic uncertain processes that affords considerably more generality of formulation than do Markovian models or their derivatives. The underlying statistical parameters of a stochastic process that produces observable outputs are themselves allowed to change at times generated by another stochastic process.
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Journal of Applied Econometrics, 1993
In this paper we present inference methods which are based on an 'incorrect' criterion, in the sense that the optimization of this criterion does not directly provide a consistent estimator of the parameter of interest. Moreover, the argument of the criterion, called the auxiliary parameter, may have a larger dimension than that of the parameter of ...
Gourieroux, C, Monfort, A, Renault, E
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In this paper we present inference methods which are based on an 'incorrect' criterion, in the sense that the optimization of this criterion does not directly provide a consistent estimator of the parameter of interest. Moreover, the argument of the criterion, called the auxiliary parameter, may have a larger dimension than that of the parameter of ...
Gourieroux, C, Monfort, A, Renault, E
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2008
Molecular phylogenetics examines how biological sequences evolve and the historical relationships between them. An important aspect of many such studies is the estimation of a phylogenetic tree, which explicitly describes evolutionary relationships between the sequences. This chapter provides an introduction to evolutionary trees and some commonly used
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Molecular phylogenetics examines how biological sequences evolve and the historical relationships between them. An important aspect of many such studies is the estimation of a phylogenetic tree, which explicitly describes evolutionary relationships between the sequences. This chapter provides an introduction to evolutionary trees and some commonly used
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Neuroscience & Biobehavioral Reviews, 2015
Perceptual inference refers to the ability to infer sensory stimuli from predictions that result from internal neural representations built through prior experience. Methods of Bayesian statistical inference and decision theory model cognition adequately by using error sensing either in guiding action or in "generative" models that predict the sensory ...
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Perceptual inference refers to the ability to infer sensory stimuli from predictions that result from internal neural representations built through prior experience. Methods of Bayesian statistical inference and decision theory model cognition adequately by using error sensing either in guiding action or in "generative" models that predict the sensory ...
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2016
Protein inference is one of the most important steps in protein identification, which transforms peptides identified from tandem mass spectra into a list of proteins. In this chapter, we provide a brief introduction on this problem and present a short summary on the existing protein inference methods in the literature.
Zengyou, He +3 more
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Protein inference is one of the most important steps in protein identification, which transforms peptides identified from tandem mass spectra into a list of proteins. In this chapter, we provide a brief introduction on this problem and present a short summary on the existing protein inference methods in the literature.
Zengyou, He +3 more
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2011
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Xin, Li, Jing, Li
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Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Xin, Li, Jing, Li
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Gene regulatory network inference in the era of single-cell multi-omics
Nature Reviews Genetics, 2023Pau Badia-i-Mompel +2 more
exaly