| http://dbpedia.org/ontology/abstract
|
The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. It was developed in 2004 by physicist John Skilling.
, Nested sampling algorithmとは、ベイズ統計におけるモデル比較、及び事後分布からのサンプル生成のための計算手法である。 2004年に物理学者のジョン・スキリング（John Skilling）によって開発された。
|
| http://dbpedia.org/ontology/wikiPageExternalLink
|
https://www.cse-lab.ethz.ch/korali/ +
|
| http://dbpedia.org/ontology/wikiPageID
|
7965327
|
| http://dbpedia.org/ontology/wikiPageLength
|
15501
|
| http://dbpedia.org/ontology/wikiPageRevisionID
|
1107522069
|
| http://dbpedia.org/ontology/wikiPageWikiLink
|
http://dbpedia.org/resource/Bayes_factor +
, http://dbpedia.org/resource/List_of_algorithms +
, http://dbpedia.org/resource/R_%28programming_language%29 +
, http://dbpedia.org/resource/C_%28programming_language%29 +
, http://dbpedia.org/resource/Curve_fitting +
, http://dbpedia.org/resource/Energy_landscape +
, http://dbpedia.org/resource/Python_%28programming_language%29 +
, http://dbpedia.org/resource/Haskell_%28programming_language%29 +
, http://dbpedia.org/resource/Category:Bayesian_statistics +
, http://dbpedia.org/resource/Cosmology +
, http://dbpedia.org/resource/Lebesgue_integration +
, http://dbpedia.org/resource/Computation +
, http://dbpedia.org/resource/Astronomy +
, http://dbpedia.org/resource/Markov_chain_Monte_Carlo +
, http://dbpedia.org/resource/Bayes%27_theorem +
, http://dbpedia.org/resource/Bayesian_model_comparison +
, http://dbpedia.org/resource/Condensed_matter_physics +
, http://dbpedia.org/resource/Structural_dynamics +
, http://dbpedia.org/resource/Category:Model_selection +
, http://dbpedia.org/resource/Programming_language +
, http://dbpedia.org/resource/C%2B%2B +
, http://dbpedia.org/resource/Partition_function_%28statistical_mechanics%29 +
, http://dbpedia.org/resource/Statistical_physics +
, http://dbpedia.org/resource/Phase_transitions +
, http://dbpedia.org/resource/Finite_element_updating +
, http://dbpedia.org/resource/Bayesian_statistics +
, http://dbpedia.org/resource/Model_selection +
, http://dbpedia.org/resource/Physicist +
, http://dbpedia.org/resource/Finite_element +
, http://dbpedia.org/resource/Spectrum +
, http://dbpedia.org/resource/Statistical_mechanics +
, http://dbpedia.org/resource/Julia_%28programming_language%29 +
, http://dbpedia.org/resource/Thermodynamics +
, http://dbpedia.org/resource/Category:Randomized_algorithms +
|
| http://dbpedia.org/property/wikiPageUsesTemplate
|
http://dbpedia.org/resource/Template:Proper_name +
, http://dbpedia.org/resource/Template:Reflist +
|
| http://purl.org/dc/terms/subject
|
http://dbpedia.org/resource/Category:Bayesian_statistics +
, http://dbpedia.org/resource/Category:Randomized_algorithms +
, http://dbpedia.org/resource/Category:Model_selection +
|
| http://purl.org/linguistics/gold/hypernym
|
http://dbpedia.org/resource/Approach +
|
| http://www.w3.org/ns/prov#wasDerivedFrom
|
http://en.wikipedia.org/wiki/Nested_sampling_algorithm?oldid=1107522069&ns=0 +
|
| http://xmlns.com/foaf/0.1/isPrimaryTopicOf
|
http://en.wikipedia.org/wiki/Nested_sampling_algorithm +
|
| owl:sameAs |
http://dbpedia.org/resource/Nested_sampling_algorithm +
, http://yago-knowledge.org/resource/Nested_sampling_algorithm +
, http://ja.dbpedia.org/resource/Nested_sampling_algorithm +
, http://rdf.freebase.com/ns/m.026lq6x +
, http://www.wikidata.org/entity/Q17148751 +
, https://global.dbpedia.org/id/gS3e +
|
| rdf:type |
http://dbpedia.org/class/yago/Rule105846932 +
, http://dbpedia.org/class/yago/Abstraction100002137 +
, http://dbpedia.org/class/yago/Act100030358 +
, http://dbpedia.org/class/yago/Algorithm105847438 +
, http://dbpedia.org/class/yago/Procedure101023820 +
, http://dbpedia.org/class/yago/Event100029378 +
, http://dbpedia.org/class/yago/PsychologicalFeature100023100 +
, http://dbpedia.org/class/yago/WikicatStatisticalAlgorithms +
, http://dbpedia.org/ontology/ProgrammingLanguage +
, http://dbpedia.org/class/yago/YagoPermanentlyLocatedEntity +
, http://dbpedia.org/class/yago/Activity100407535 +
|
| rdfs:comment |
The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. It was developed in 2004 by physicist John Skilling.
, Nested sampling algorithmとは、ベイズ統計におけるモデル比較、及び事後分布からのサンプル生成のための計算手法である。 2004年に物理学者のジョン・スキリング（John Skilling）によって開発された。
|
| rdfs:label |
Nested sampling algorithm
|
