"framework" in inglés with examples - Collocation dictionary inglés

framework sustantivo

sustantivo + framework

Kolokacji: 24

framework of divisions • policy framework • steel framework • metal framework • application framework • ...

framework + sustantivo

Kolokacji: 9

framework agreement • United Nations Framework Convention • Framework Convention • Framework Program • Framework Act • ...

framework + verbo

Kolokacji: 12

framework provides • framework includes • framework allows • framework supports • framework consists • ...

verbo + framework

Kolokacji: 10

provide a framework • establish a framework • create a framework • develop a framework • use the framework • ...

adjetivo + framework

Kolokacji: 122

legal framework • conceptual framework • theoretical framework • regulatory framework • new framework • basic framework • ...

Kolokacji: 12

Grup znaczeniowych: 32

Kolokacji: 4

Kolokacji: 8

1. theoretical framework = teoretyczna struktura theoretical framework

2. conceptual framework = siatka pojęciowa conceptual framework

3. political framework = kontekst polityczny political framework

4. ideological framework = ideologiczna struktura ideological framework

5. Marxist framework = Marksistowska struktura Marxist framework

6. practical framework = wykonalne uregulowania practical framework

7. abstract framework = struktura streszczenia abstract framework

8. Bayesian framework = Bayesian struktura Bayesian framework

In the Bayesian framework, one updates his or her prior beliefs using the data obtained in a given study.
It was thus realized early on that the Bayesian statistical framework holds the potential to lead to insights into the function of the nervous system.
Bootstrapping can be interpreted in a Bayesian framework using a scheme that creates new datasets through reweighting the initial data.
Philosophers and scientists who follow the Bayesian framework for inference use the mathematical rules of probability to find this best explanation.
Existing methodologies for inverse uncertainty quantification are mostly under the Bayesian framework.
In the Bayesian framework, these factors correspond to prior probabilities and conditional probabilities, respectively.
This is a formal inductive framework that combines algorithmic information theory with the Bayesian framework.
In a Bayesian probabilistic framework is considered the proportion of individuals in a target population belonging to the ith stratum.
Within the Bayesian framework there is no risk of error since hypotheses are not accepted or rejected; instead they are assigned probabilities.
A Bayesian framework is also used for neural networks.