Bayesian

Results: 5731



#Item
171

1 Bayesian regression and Bitcoin arXiv:1410.1231v1 [cs.AI] 6 Oct 2014

Add to Reading List

Source URL: arxiv.org

- Date: 2014-10-06 21:10:12
    172

    BAYESIAN INFERENCE FOR GIBBS RANDOM FIELDS USING COMPOSITE LIKELIHOODS

    Add to Reading List

    Source URL: informs-sim.org

    - Date: 2013-05-21 09:12:11
      173

      A KALMAN–TRACKER–BASED BAYESIAN DETECTOR FOR RADAR INTERFERENCE IN RADIO ASTRONOMY Weizhen Dong, Brian D. Jeffs J. Richard Fisher

      Add to Reading List

      Source URL: www.et.byu.edu

      - Date: 2009-10-14 12:22:28
        174

        Kalman Tracking and Bayesian Detection for Radar RFI Blanking Weizhen Dong, Brian D. Jeffs Department of Electrical and Computer Engineering Brigham Young University

        Add to Reading List

        Source URL: www.et.byu.edu

        - Date: 2009-10-14 12:22:25
          175

          Interactive Bayesian Hierarchical Clustering Sharad Vikram Sanjoy Dasgupta Computer Science and Engineering, UCSD, 9500 Gilman Drive, La Jolla, CA 92093

          Add to Reading List

          Source URL: cseweb.ucsd.edu

          - Date: 2016-06-06 01:38:16
            176

            Higher Accuracy for Bayesian and Frequentist Inference: Large Sample Theory for Small Sample Likelihood

            Add to Reading List

            Source URL: fisher.utstat.toronto.edu

            - Date: 2012-04-02 13:00:53
              177

              Bayesian Analysis or Evidence Based Statistics D.A.S. Fraser Department of Statistics, University of Toronto, Canada M5S 3G3 Introduction The original Bayes proposal leads to likelihood and confidence for many simple exa

              Add to Reading List

              Source URL: fisher.utstat.toronto.edu

              - Date: 2012-04-02 13:00:54
                178

                Supplementary Material for: “A Bayesian Framework for Multi-Modality Analysis of Mental Health” This document presents supplementary materials to the submitted paper. It contains: (i) Details about inference procedur

                Add to Reading List

                Source URL: people.duke.edu

                - Date: 2015-09-05 08:54:07
                  179

                  Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Piyush Rai (Joint work with Changwei Hu, Changyou Chen, Matthew Harding, and Lawrence Carin)

                  Add to Reading List

                  Source URL: people.duke.edu

                  - Date: 2015-09-09 09:43:54
                    180

                    w - - - - - - - - - Daniel Garber - - - - - - - - - Old Evidence and Logical Omniscience in Bayesian Confirmation Theory

                    Add to Reading List

                    Source URL: fitelson.org

                    - Date: 2008-05-21 13:56:27
                      UPDATE