181 citations · 1.7k across the 107 of their papers we have counts for
7 papers · 1 filter
Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression
Quan Zhang, Mingyuan Zhou
To model categorical response variables given their covariates, we propose a permuted and augmented stick-breaking (paSB) construction that one-to-one maps the observed categories…
Softplus Regressions and Convex Polytopes
Mingyuan Zhou
To construct flexible nonlinear predictive distributions, the paper introduces a family of softplus function based regression models that convolve, stack, or combine both operation…
BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data
Siamak Zamani Dadaneh, Xiaoning Qian, Mingyuan Zhou
We perform differential expression analysis of high-throughput sequencing count data under a Bayesian nonparametric framework, removing sophisticated ad-hoc pre-processing steps co…
Frequency of Frequencies Distributions and Size Dependent Exchangeable Random Partitions
Mingyuan Zhou, Stefano Favaro, Stephen G Walker
Motivated by the fundamental problem of modeling the frequency of frequencies (FoF) distribution, this paper introduces the concept of a cluster structure to define a probability f…
Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions
Yulai Cong, Bo Chen, Mingyuan Zhou
We introduce a fast and easy-to-implement simulation algorithm for a multivariate normal distribution truncated on the intersection of a set of hyperplanes, and further generalize…
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David M. Blei +1
We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling country--country interaction event data. These data consist of interaction events of the form "country to…
Nonparametric Bayesian Negative Binomial Factor Analysis
Mingyuan Zhou
A common approach to analyze a covariate-sample count matrix, an element of which represents how many times a covariate appears in a sample, is to factorize it under the Poisson li…