Results 271 to 280 of about 505,151 (313)
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IMA Journal of Management Mathematics, 1996
Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
G. Platts, G. Bennett, J. Crossley
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Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
G. Platts, G. Bennett, J. Crossley
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Current Biology, 2021
In the last ten years, the next generation sequencing revolution has multiplied the amount of genetic data for many organisms by orders of magnitude. This has not only led to evolutionary biologists having more data available but also to new and different types of data: from a handful of allozyme markers in the 70s, we got dozens of restriction ...
Marchi, Nina +2 more
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In the last ten years, the next generation sequencing revolution has multiplied the amount of genetic data for many organisms by orders of magnitude. This has not only led to evolutionary biologists having more data available but also to new and different types of data: from a handful of allozyme markers in the 70s, we got dozens of restriction ...
Marchi, Nina +2 more
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MATHEMATICAL INFERENCE AND LOGICAL INFERENCE
The Review of Symbolic Logic, 2018AbstractThe deviation ofmathematical proof—proof in mathematical practice—from the ideal offormal proof—proof in formal logic—has led many philosophers of mathematics to reconsider the commonly accepted view according to which the notion of formal proof provides an accurate descriptive account of mathematical proof.
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2009
Chapter 9:This contribution concerns statistical inference for parametric models used in stochastic geometry and based on quick and simple simulation free procedures as well as more comprehensive methods based on a maximum likelihood or Bayesian approach combined with markov chain Monte Carlo (MCMC) techniques.
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Chapter 9:This contribution concerns statistical inference for parametric models used in stochastic geometry and based on quick and simple simulation free procedures as well as more comprehensive methods based on a maximum likelihood or Bayesian approach combined with markov chain Monte Carlo (MCMC) techniques.
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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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2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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When is inference statistical inference?
1975The thesis is argued that a statistician qua statistician should either confine his inferences to statistical inferences in the sense indicated in this paper, or at least make it clear when his inferences are not so classifiable.
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Journal of Philosophical Logic, 1987
The paper discusses the proof of a statement about a recursively defined rapidly increasing function. The hypotheses involve universal quantifiers and the statement is easily proved in second order logic. An estimate of the size of the set needed to replace the quantifiers by Gentzen cuts shows that the first order proof would need a number of symbols ...
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The paper discusses the proof of a statement about a recursively defined rapidly increasing function. The hypotheses involve universal quantifiers and the statement is easily proved in second order logic. An estimate of the size of the set needed to replace the quantifiers by Gentzen cuts shows that the first order proof would need a number of symbols ...
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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 ...
openaire +1 more source