Latent variable
In statistics, latent variables (from Latin: present participle of lateo (“lie hidden”), as opposed to observable variables) are variables that are not directly observed but are rather inferred (through a mathematical model) from other variables that are observed (directly measured). Mathematical models that aim to explain observed variables in terms of latent variables are called latent variable models. Latent variable models are used in many disciplines, including psychology, demography, economics, engineering, medicine, physics, machine learning/artificial intelligence, bioinformatics, chemometrics, natural language processing, econometrics, management and the social sciences.
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Affine term structure modelAnnoyance factorAntecedent variableArbitrage pricing theoryArtificial neural networkBaum–Welch algorithmBayesian networkBehavioral modelingBinomial regressionBlinded experimentBoltzmann machineCORE-OMChamberlain's approach to unobserved effects modelsComputational tools for artificial intelligenceConfirmatory composite analysisConfirmatory factor analysisConstruct validityDe Finetti's theoremDeep belief networkDeep lambertian networksDependent and independent variablesDirichlet-multinomial distributionDiscrete choiceDoubly stochastic modelEM algorithm and GMM modelEnergy based modelErrors-in-variables modelsExpectation–maximization algorithmExperimental financeExploratory factor analysisFactor analysisFeature learningFinale Doshi-VelezGeneralized extreme value distributionGenerative adversarial networkGenetic correlationGibbs samplingGrammar inductionGumbel distributionHerman Wold
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Latent variable
In statistics, latent variables (from Latin: present participle of lateo (“lie hidden”), as opposed to observable variables) are variables that are not directly observed but are rather inferred (through a mathematical model) from other variables that are observed (directly measured). Mathematical models that aim to explain observed variables in terms of latent variables are called latent variable models. Latent variable models are used in many disciplines, including psychology, demography, economics, engineering, medicine, physics, machine learning/artificial intelligence, bioinformatics, chemometrics, natural language processing, econometrics, management and the social sciences.
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Em estatística, variáveis late ...... simbólicos no mundo modelado.
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En estadística, las variables ...... el común modelo de factores.
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In statistics, latent variable ...... lic data in the modeled world.
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Una variable latent (o variabl ...... ariables latents). Vegeu Fig.1
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Zmienna ukryta albo utajona (a ...... wartość dla każdej obserwacji.
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В статистике под латентными ил ...... ную с функцией научных теорий.
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У статистиці лате́нтні змі́нні ...... на загальній факторній моделі.
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在统计学中,潜变量,或称隐变量,潜在变量,与相对,指的是不可 ...... 来成为一个潜变量来表示深层次的概念,使得观测数据更容易理解。
@zh
潜在変数(せんざいへんすう、latent variable、 ...... ータをモデル化された世界のシンボリックなデータにリンクする。
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Em estatística, variáveis late ...... enciamento e ciências sociais.
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En estadística, las variables ...... stión y las ciencias sociales.
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In statistics, latent variable ...... ement and the social sciences.
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Una variable latent (o variabl ...... ariables latents). Vegeu Fig.1
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Zmienna ukryta albo utajona (a ...... wartość dla każdej obserwacji.
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В статистике под латентными ил ...... ного языка и социальные науки.
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У статистиці лате́нтні змі́нні ...... неджменті й соціальних науках.
@uk
在统计学中,潜变量,或称隐变量,潜在变量,与相对,指的是不可 ...... 来成为一个潜变量来表示深层次的概念,使得观测数据更容易理解。
@zh
潜在変数(せんざいへんすう、latent variable、 ...... 想変数」または「仮想構成」という用語が用いられることがある。
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label
Latent variable
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Variable latent
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Variable latente
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Variável latente
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Zmienna ukryta
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Латентна змінна
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Скрытая переменная
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潜变量
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潜在変数
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잠재 변수
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