181 citations · 1.7k across the 107 of their papers we have counts for
13 papers · 1 filter
Graph Gamma Process Generalized Linear Dynamical Systems
Rahi Kalantari, Mingyuan Zhou
We introduce graph gamma process (GGP) linear dynamical systems to model real-valued multivariate time series. For temporal pattern discovery, the latent representation under the m…
Probabilistic Best Subset Selection via Gradient-Based Optimization
Mingzhang Yin, Nhat Ho, Bowei Yan +2
In high-dimensional statistics, variable selection recovers the latent sparse patterns from all possible covariate combinations. This paper proposes a novel optimization method to…
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-varying Covariates
Quan Zhang, Yanxun Xu, Mei-Cheng Wang +1
We propose Bayesian nonparametric Weibull delegate racing (WDR) for survival analysis with competing events and achieve both model interpretability and flexibility. Utilizing a nat…
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Quan Zhang, Mingyuan Zhou
We propose Lomax delegate racing (LDR) to explicitly model the mechanism of survival under competing risks and to interpret how the covariates accelerate or decelerate the time to…
Discussion on "Sparse graphs using exchangeable random measures" by Francois Caron and Emily B. Fox
Mingyuan Zhou
This is a discussion on "Sparse graphs using exchangeable random measures" by Francois Caron and Emily B. Fox, published in Journal of the Royal Statistical Society, Series B, 2017…
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…
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…
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…
Sample Size Dependent Species Models
Mingyuan Zhou, Stephen G Walker
Motivated by the fundamental problem of measuring species diversity, this paper introduces the concept of a cluster structure to define an exchangeable cluster probability function…
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
Mingyuan Zhou
The beta-negative binomial process (BNBP), an integer-valued stochastic process, is employed to partition a count vector into a latent random count matrix. As the marginal probabil…
Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
Mingyuan Zhou, Oscar Hernan Madrid Padilla, James G. Scott
We define a family of probability distributions for random count matrices with a potentially unbounded number of rows and columns. The three distributions we consider are derived f…
Generalized Negative Binomial Processes and the Representation of Cluster Structures
Mingyuan Zhou
The paper introduces the concept of a cluster structure to define a joint distribution of the sample size and its exchangeable random partitions. The cluster structure allows the p…
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou, Lawrence Carin
The seemingly disjoint problems of count and mixture modeling are united under the negative binomial (NB) process. A gamma process is employed to model the rate measure of a Poisso…