7 papers · 1 filter
Bayesian Multiple Multivariate Density-Density Regression
Khai Nguyen, Yang Ni, Peter Mueller
We propose the first approach for multiple multivariate density-density regression (MDDR), making it possible to consider the regression of a multivariate density-valued response o…
A Dependent Feature Allocation Model Based on Random Fields
Bernardo Flores, Yang Ni, Yanxun Xu +1
We introduce a flexible framework for modeling dependent feature allocations. Our approach addresses limitations in traditional nonparametric methods by directly modeling the logit…
Spatially Varying Gene Regulatory Networks via Bayesian Nonparametric Covariate-Dependent Directed Cyclic Graphical Models
Trisha Dawn, Yang Ni
Spatial transcriptomics technologies enable the measurement of gene expression with spatial context, providing opportunities to understand how gene regulatory networks vary across…
Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
Sandipan Pramanik, Raymond Robertson, Yang Ni
This article aims to model international trade relationships among 29 countries in the apparel industry between 1994 and 2013. Bilateral trade flows can be represented as a directe…
Bayesian Multivariate Density-Density Regression
Khai Nguyen, Yang Ni, Peter Mueller
We introduce a novel and scalable Bayesian framework for multivariate-density-density regression (DDR), designed to model relationships between multivariate distributions. Our appr…
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
Aramayis Dallakyan, Yang Ni
The discovery of causal relationships from observational data is very challenging. Many recent approaches rely on complexity or uncertainty concepts to impose constraints on probab…