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Showing 1 to 7 of 7 for “"Heavy-tailed Distribution"”.

  1. Towards Large Language Models for Everyone: Instruction Following, Knowledge Retrieval and Multilingualism

    … on a multilingual corpus exhibiting a heavy-tailed distribution. XGLMs demonstrate enhanced cross-lingual capabilities and few-shot generalization across medium- and low-resource languages. Together, these research strands provide core strategies for advancing the boundaries of LLM …

    washington Repository record for Towards Large Language Models for Everyone: Instruction Following, Knowledge Retrieval and Multilingualism (opens in a new tab)

  2. Modelling and Analysis of Individual Animal Movement

    … Chapter 6 demonstrates that a highly peaked, heavy-tailed distribution found in the distribution of turning angles across an individual’s movement path can arise from the mixing of two distinct normal-type distributions, and provides an example of how this can indicate the presence of multiple …

    essex Repository record for Modelling and Analysis of Individual Animal Movement (opens in a new tab)

  3. Multi-period market risk estimation and performance evaluation : evidence from univariate, multi-variate and options data

    … expected shortfall (ES) with a new 6-parameter heavy tailed distribution by Baker (2014) alongside recent generalizations of the asymmetric Student t by Zhu and Galbraith (2010) and exponential power distributions by Zhu and Zinde-Walsh (2009). This is allowing separate parameters to control …

    salford Repository record for Multi-period market risk estimation and performance evaluation : evidence from univariate, multi-variate and options data (opens in a new tab)

  4. Deconvolution and sparsity based image restoration

    … scale mixture (GSM) model, which represent the heavy tailed distribution. The SMNA and KLD are designed for a more challenging task of blind image deconvolution (BID), where either no or very little prior information about the original image and blurring operator is provided. In SMNA an explicit …

    aus-cath Repository record for Deconvolution and sparsity based image restoration (opens in a new tab)

  5. Deconvolution and sparsity based image restoration

    … scale mixture (GSM) model, which represent the heavy tailed distribution. The SMNA and KLD are designed for a more challenging task of blind image deconvolution (BID), where either no or very little prior information about the original image and blurring operator is provided. In SMNA an explicit …

    anu Repository record for Deconvolution and sparsity based image restoration (opens in a new tab)

  6. Bayesian Inference of the Weibull-Pareto Distribution

    <p>The Weibull distribution has many applications in various topics. Some of these topics include survival analysis, reliability engineering, general insurance, electrical engineering, and industrial engineering. The Weibull distribution was further extended by the Weibull-Pareto distribution. A …

    gsu Repository record for Bayesian Inference of the Weibull-Pareto Distribution (opens in a new tab)

  7. Firm heterogeneity in international trade

    … current trade models to capture this kind of detailed firm-level trade reality brings them much closer to businesses and policymakers. This thesis aims to progress the field of international trade on the definition, characterization and measurement of the building block of these trade models: …

    ghent Repository record for Firm heterogeneity in international trade (opens in a new tab)