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OpenAlex topic

Bayesian Modeling and Causal Inference

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 278 works 14 author topics

Works

278 works

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  3. We consider the problem of evaluating retrieval systems using incomplete judgment information. Buckley and Voorhees recently demonstrated that retrieval systems can be efficiently and effectively evaluated using incomplete judgments via the bpref measure [6]. When relevance judgments are complete, the value of bpref i…

  4. OpenAlex top 1% OpenAlex 99.5%

    In the field of information retrieval, one is often faced with the problem of computing the correlation between two ranked lists. The most commonly used statistic that quantifies this correlation is Kendall's Τ. Often times, in the information retrieval community, discrepancies among those items having high rankings a…

  5. YÖKSİS SJR Q1 JCR Q3 OpenAlex top 1% OpenAlex 99.2%

    Abstract We provide an accessible introduction to graph‐theoretic methods for causal analysis. Building on the work of Swanson and Granger ( Journal of the American Statistical Association , Vol. 92, pp. 357–367, 1997), and generalizing to a larger class of models, we show how to apply graph‐theoretic methods to selec…

  6. YÖKSİS SJR Q3 JCR Q4 OpenAlex top 1% OpenAlex 99.8%

    Answer set programming (ASP) has been applied fruitfully to a wide range of areas in AI and in other fields, both in academia and in industry, thanks to the expressive representation languages of ASP and the continuous improvement of ASP solvers. We present some of these ASP applications, in particular, in knowledge r…

  7. OpenAlex top 10% OpenAlex 98.3%

    No abstract yet.

  8. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 93.7%

    A centred Gaussian model that is Markov with respect to an undirected graph G is characterised by the parameter set of its precision matrices which is the cone M+(G) of positive definite matrices with entries corresponding to the missing edges of G constrained to be equal to zero. In a Bayesian framework, the conjugat…

  9. No abstract yet.

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    No abstract yet.

  11. OpenAlex top 10% OpenAlex 98.3%

    No abstract yet.

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.5%

    No abstract yet.

Academicians

14 academicians