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01/16/2023
Mixture Modeling with Normalizing Flows for Spherical Density Estimation
Normalizing flows are objects used for modeling complicated probability ...
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01/24/2022
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport
Recent years have seen an increased interest in the application of metho...
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06/29/2021
Fact Check: Analyzing Financial Events from Multilingual News Sources
The explosion in the sheer magnitude and complexity of financial news da...
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05/14/2021
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
We study a recent inferential framework, named posterior regularisation,...
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10/23/2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Corporate mergers and acquisitions (M A) account for billions of dolla...
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09/07/2020
Penalized Maximum Likelihood Estimator for Mixture of von Mises-Fisher Distributions
The von Mises-Fisher distribution is one of the most widely used probabi...
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07/01/2020
Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport
Non-homogeneous Poisson processes are used in a wide range of scientific...
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04/14/2020
Universal Approximation on the Hypersphere
It is well known that any continuous probability density function on R^m...
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06/06/2019
Deep Compositional Spatial Models
Nonstationary, anisotropic spatial processes are often used when modelli...
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08/15/2018
Model-based clustering for random hypergraphs
A probabilistic model for random hypergraphs is introduced to represent ...
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07/16/2018