Embedded Domain-Specific Languages for Bayesian Modelling and Inference
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Embedded Domain-Specific Languages for Bayesian Modelling and Inference
Summary
Embedded Domain-Specific Languages for Bayesian Modelling and Inference is a doctoral thesis[1].
Key Facts
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's instance of is recorded as doctoral thesis[2].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference was published by ResearchSpace@Auckland[3].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's copyright license is recorded as Creative Commons Attribution 3.0 New Zealand[4].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's country of origin is recorded as New Zealand[5].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference was released on 2018[6].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's main subject is statistics[7].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's main subject is embedded domain-specific language[8].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/36824[9].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's title is recorded as Embedded Domain-Specific Languages for Bayesian Modelling and Inference[10].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's author name string is recorded as Jared Tobin[11].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's thesis submitted to is recorded as University of Auckland[12].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's copyright status is recorded as copyrighted[14].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's online access status is recorded as open access[15].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's thesis committee member is recorded as Russell B. Millar[16].
- Embedded Domain-Specific Languages for Bayesian Modelling and Inference's thesis submitted for degree is recorded as Doctor of Philosophy[17].
Body
Designation and Status
Embedded Domain-Specific Languages for Bayesian Modelling and Inference's instance of is recorded as doctoral thesis[2].