About: Bayesian experimental design

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Bayesian experimental design Goto Sponge NotDistinct Permalink

An Entity of Type : yago:StatisticalMethod106020737, within Data Space : dbpedia.org associated with source document(s)
QRcode icon

http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FBayesian_experimental_design

Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations.

Attributes	Values
rdf:type	yago:WikicatOptimalDecisions yago:WikicatStatisticalMethods yago:Ability105616246 yago:Abstraction100002137 yago:Act100030358 yago:Action100037396 yago:Choice100161243 yago:Cognition100023271 yago:Decision100162632 yago:Event100029378 yago:Know-how105616786 yago:Method105660268 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity yago:StatisticalMethod106020737
rdfs:label	تصميم بايزي تجريبي (ar) Bayesian experimental design (en)
rdfs:comment	يوفر التصميم البايزي التجريبي (نسبةً لبايز) إطار احتمالٍ نظريًّا عامًّا يمكن استنباط نظريات تصميم تجريبي أخرى منه. وهو مبني على الاستدلال البايزي لتفسير البيانات/الملاحظات التي حُصل عليها خلال التجربة. يسمح هذا بالتعويض عن أي معرفة مسبقة عن المؤشرات التي يجب تحديدها، بالإضافة إلى أي شكوك في الملاحظات. (ar) Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations. (en)
dcterms:subject	Design of experiments Industrial engineering Optimal decisions Systems engineering Bayesian statistics
Wikipage page ID	1706860 (xsd:integer)
Wikipage revision ID	1111606761 (xsd:integer)
Link from a Wikipage to another Wikipage	Bayesian inference Bayesian optimization Bayes' theorem Variance Design of experiments Geophysical Journal International Monte Carlo method Multivariate normal distribution Mutual information Optimal decision Optimal design Design of experiments Industrial engineering Gambling and information theory Active learning (machine learning) Differential entropy Kelly criterion Probability density function Posterior probability Prior probability Optimal decisions Systems engineering Bayesian statistics Posterior predictive distribution Kullback–Leibler divergence Calyampudi Radhakrishna Rao Variational Bayes Shannon information
Link from a Wikipage to an external page	http://www.stat.purdue.edu/~dasgupta/publications/tr95-04.pdf http://www.stat.uiowa.edu/~gwoodwor/AdvancedDesign/Chaloner%20Verdinelli.pdf
sameAs	Bayesian experimental design Bayesian experimental design Bayesian experimental design Bayesian experimental design Bayesian experimental design
dbp:wikiPageUsesTemplate	dbt:Citation dbt:Harvtxt dbt:No_footnotes dbt:Experimental_design dbt:Statistics
has abstract	يوفر التصميم البايزي التجريبي (نسبةً لبايز) إطار احتمالٍ نظريًّا عامًّا يمكن استنباط نظريات تصميم تجريبي أخرى منه. وهو مبني على الاستدلال البايزي لتفسير البيانات/الملاحظات التي حُصل عليها خلال التجربة. يسمح هذا بالتعويض عن أي معرفة مسبقة عن المؤشرات التي يجب تحديدها، بالإضافة إلى أي شكوك في الملاحظات. نظرية التصميم البايزي التجريبي مبنية إلى حد ما على نظرية صنع القرارات المثالية عند وجود شك. الهدف عند تصميم تجربة هو الخروج بأعلى حد ممكن من الفائدة المتوقعة لنتيجة التجربة. التعريف الأكثر شيوعًا للفائدة هو أنها قياس لدقة المعلومات التي توفرها التجربة (مثل معلومات شانون أو التنوع السلبي)، ولكن يمكن أيضًا أن تشمل عوامل كالكلفة المالية لإجراء التجربة. تعتمد ماهية التصميم المثالي للتجربة على معيار الفائدة المحدد المختار. (ar) Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations. The theory of Bayesian experimental design is to a certain extent based on the theory for making optimal decisions under uncertainty. The aim when designing an experiment is to maximize the expected utility of the experiment outcome. The utility is most commonly defined in terms of a measure of the accuracy of the information provided by the experiment (e.g. the Shannon information or the negative of the variance), but may also involve factors such as the financial cost of performing the experiment. What will be the optimal experiment design depends on the particular utility criterion chosen. (en)
prov:wasDerivedFrom	wikipedia-en:Bayesian_experimental_design?oldid=1111606761&ns=0
page length (characters) of wiki page	11310 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Bayesian_experimental_design
is Link from a Wikipage to another Wikipage of	Bayesian optimization Probabilistic numerics Bayesian quadrature Peter Whittle (mathematician) Design of experiments Optimal design Clinical trial Barbara Engelhardt Oscar Kempthorne Kathryn Chaloner Kullback–Leibler divergence List of statistics articles List of things named after Thomas Bayes Platform trial Bayes design of experiments Bayes experimental design Bayes optimal design Bayes optimum design Bayesian design of experiment Bayesian design of experiments Bayesian design of optimal experiment Optimal Bayes designs Optimal Bayesian experiment
is Wikipage redirect of	Bayes design of experiments Bayes experimental design Bayes optimal design Bayes optimum design Bayesian design of experiment Bayesian design of experiments

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 54 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software