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International Conference on Statistical Distributions and Applications, ICOSDA 2016

  1. Research

    Erlang renewal models for genetic recombination

    Erlang renewal models, also called chi-squared models, provide a tractable model for genetic recombination that exhibits positive interference. Closed form expressions for multilocus probabilities are derived ...

    John P. Nolan

    Journal of Statistical Distributions and Applications 2017 4:10

    Published on: 15 October 2017

  2. Research

    On Poisson–Tweedie mixtures

    Poisson-Tweedie mixtures are the Poisson mixtures for which the mixing measure is generated by those members of the family of Tweedie distributions whose support is non-negative. This class of non-negative int...

    Vladimir V. Vinogradov and Richard B. Paris

    Journal of Statistical Distributions and Applications 2017 4:14

    Published on: 2 October 2017

  3. Methodology

    A new diversity estimator

    The maximum likelihood estimator (MLE) of Gini-Simpson’s diversity index (GS) is widely used but suffers from large bias when the number of species is large or infinite. We propose a new estimator of the GS in...

    Lukun Zheng and Jiancheng Jiang

    Journal of Statistical Distributions and Applications 2017 4:12

    Published on: 15 September 2017

  4. Research

    Goodness of fit for the logistic regression model using relative belief

    A logistic regression model is a specialized model for product-binomial data. When a proper, noninformative prior is placed on the unrestricted model for the product-binomial model, the hypothesis H ...

    Luai Al-Labadi, Zeynep Baskurt and Michael Evans

    Journal of Statistical Distributions and Applications 2017 4:17

    Published on: 31 August 2017

  5. Research

    A note on inconsistent families of discrete multivariate distributions

    We construct a d-dimensional discrete multivariate distribution for which any proper subset of its components belongs to a specific family of distributions. However, the joint d-dimensional distribution fails to ...

    Sugata Ghosh, Subhajit Dutta and Marc G. Genton

    Journal of Statistical Distributions and Applications 2017 4:7

    Published on: 5 July 2017

  6. Review

    Recent developments on the moment problem

    We consider univariate distributions with finite moments of all positive orders. The moment problem is to determine whether or not a given distribution is uniquely determined by the sequence of its moments. Th...

    Gwo Dong Lin

    Journal of Statistical Distributions and Applications 2017 4:5

    Published on: 3 July 2017

  7. Research

    High quantile regression for extreme events

    For extreme events, estimation of high conditional quantiles for heavy tailed distributions is an important problem. Quantile regression is a useful method in this field with many applications. Quantile regres...

    Mei Ling Huang and Christine Nguyen

    Journal of Statistical Distributions and Applications 2017 4:4

    Published on: 3 May 2017