bspmma: An R Package for Bayesian Semiparametric Models for Meta-Analysis
Journal of Statistical Software, 2012 We introduce an R package, bspmma, which implements a Dirichlet-based random effects model specific to meta-analysis. In meta-analysis, when combining effect estimates from several heterogeneous studies, it is common to use a random-effects model.
Deborah Burr
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ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]
Proceedings on Engineering SciencesThe ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra +4 more
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Distributions of Functionals of the two Parameter Poisson-Dirichlet Process [PDF]
The present paper provides exact expressions for the probability distribution of linear functionals of the two–parameter Poisson–Dirichlet process. Distributional results that follow from the application of an inversion formula for a (generalized) Cauchy–
Antonio Lijoi +2 more
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Sampling the Dirichlet Mixture Model with Slices [PDF]
We provide a new approach to the sampling of the well known mixture of Dirichlet process model. Recent attention has focused on retention of the random distribution function in the model, but sampling algorithms have then suffered from the countably ...
Stephen G. Walker
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Distributional properties of means of random probability measures [PDF]
The present paper provides a review of the results concerning distributional properties of means of random probability measures. Our interest in this topic has originated from inferential problems in Bayesian Nonparametrics.
Antonio Lijoi, Igor Prünster
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"Long-run Behavior of Macroeconomic Models with Heterogeneous Agents: Asymptotic Behavior of One- and Two-Parameter Poisson-Dirichlet Distributions" [PDF]
This paper discusses a symptotic behavior of one-and two-parameter Poisson-Dirichlet models, that is, Ewens models and its two parameter extensions by Pitman, and show that their a symptotic behavior arevery different.
Masanao Aoki
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Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet
BRIEF VON REBECKA LEJEUNE DIRICHLET UND FLORA LEJEUNE DIRICHLET AN WALTER ARNOLD ABRAHAM DIRICHLET Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet ( -
Dirichlet, Walter Arnold Abraham +2 more
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Attention-enhanced reinforcement learning for dynamic portfolio optimization
Intelligent Systems with ApplicationsWe propose a deep reinforcement learning framework for dynamic portfolio optimization that combines a Dirichlet policy with cross-sectional attention mechanisms.
Pei Xue, Yuanchun Ye
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Detecting Spatial Clusters via a Mixture of Dirichlet Processes
Journal of Probability and Statistics, 2018 We proposed an approach that has the ability to detect spatial clusters with skewed or irregular distributions. A mixture of Dirichlet processes (DP) was used to describe spatial distribution patterns.
Meredith A. Ray +2 more
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Properties of the complex matrix variate Dirichlet distribution
, 2007 In this paper, several properties of the complex matrix variate Dirichlet type I distribution are studied. Also, the asymptotic expansion of the probability density function of the complex matrix variate Dirichlet distribution is derived.Universidad de ...
Bedoya, Elizabeth +2 more
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