dorsal/arxiv
View SchemaContinuous Probability Distributions from Finite Data
| Authors | David M. Schmidt |
|---|---|
| Categories | |
| ArXiv ID | physics/9808005 |
| URL | https://arxiv.org/abs/physics/9808005 |
Abstract
Recent approaches to the problem of inferring a continuous probability distribution from a finite set of data have used a scalar field theory for the form of the prior probability distribution. This letter presents a more general form for the prior distribution that has a geometrical interpretation which is useful for tailoring prior distributions to the needs of each application. Examples are presented that demonstrate some of the capabilities of this approach, including the applicability of this approach to problems of more than one dimension.
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"abstract": "Recent approaches to the problem of inferring a continuous probability\ndistribution from a finite set of data have used a scalar field theory for the\nform of the prior probability distribution. This letter presents a more general\nform for the prior distribution that has a geometrical interpretation which is\nuseful for tailoring prior distributions to the needs of each application.\nExamples are presented that demonstrate some of the capabilities of this\napproach, including the applicability of this approach to problems of more than\none dimension.",
"arxiv_id": "physics/9808005",
"authors": [
"David M. Schmidt"
],
"categories": [
"physics.data-an",
"physics.bio-ph"
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"title": "Continuous Probability Distributions from Finite Data",
"url": "https://arxiv.org/abs/physics/9808005"
},
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