eBook
Statistical Approaches for Hidden Variables in Ecology
| Title: | Statistical Approaches for Hidden Variables in Ecology |
|---|---|
| Description: | The study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables. Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data.This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data. |
| Authors: | Nathalie Peyrard, Olivier Gimenez |
| Resource Type: | eBook. |
| Subjects: | Ecology--Statistical methods, Latent variables |
| Categories: | SOCIAL SCIENCE / Statistics, MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Ecology |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 3175605 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Statistical Approaches for Hidden Variables in Ecology – Name: Abstract Label: Description Group: Ab Data: The study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables. Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data.This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nathalie+Peyrard%22">Nathalie Peyrard</searchLink><br /><searchLink fieldCode="AR" term="%22Olivier+Gimenez%22">Olivier Gimenez</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ecology--Statistical+methods%22">Ecology--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+variables%22">Latent variables</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Statistics%22">SOCIAL SCIENCE / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Ecology%22">SCIENCE / Life Sciences / Ecology</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3175605 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 577.0727 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Ecology--Statistical methods Type: general – SubjectFull: Latent variables Type: general Titles: – TitleFull: Statistical Approaches for Hidden Variables in Ecology Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nathalie Peyrard – PersonEntity: Name: NameFull: Olivier Gimenez – PersonEntity: Name: NameFull: Nathalie Peyrard – PersonEntity: Name: NameFull: Olivier Gimenez IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 12 M: 05 Type: profile Y: 2022 Identifiers: – Type: isbn-print Value: 9781789450477 – Type: isbn-electronic Value: 9781119902775 – Type: isbn-electronic Value: 9781119902782 Titles: – TitleFull: Statistical Approaches for Hidden Variables in Ecology Type: main |
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