125 citations · 185 across the 9 of their papers we have counts for
13 papers
TopicMerge: A Divide and Conquer Approach to Topic Modeling
Matthew Raffel, Lizhong Chen, Sai Munikoti +1
Recent advancements in topic modeling have split into two main paths: efficient embedding-based methods that offer scalability but are often outperformed on standard clustering met…
Bayesian Tensor Regression for Neuroimaging Data
Zahra Naji, Montserrat Fuentes, Liangsuo Ma +1
Multidimensional array data, or tensors, arise naturally in neuroimaging and other high-dimensional applications. We propose a parsimonious Bayesian tensor regression model for stu…
Covariance Kernels on Unordered Pair Spaces: Theory and Applications to Network-Valued Data
Montserrat Fuentes
Many scientific problems are relational: the quantity of interest is a connection between two objects, while information about similarity is available for the objects themselves. W…
From Kriging to Spatial AI: Fifty Years of Spatial Statistics for Complex Dependent Data
Montserrat Fuentes, Veronica B. Patterson
Spatial statistics has grown from kriging for spatial prediction into a broad framework for learning from complex dependent data. This article traces that development from random f…
Smooth Density Spatial Quantile Regression
Halley Brantley, Montserrat Fuentes, Joseph Guinness +1
We derive the properties and demonstrate the desirability of a model-based method for estimating the spatially-varying effects of covariates on the quantile function. By modeling t…
Non-Stationary Covariance Estimation using the Stochastic Score Approximation for Large Spatial Data
Amanda Muyskens, Joseph Guinness, Montserrat Fuentes
We introduce computational methods that allow for effective estimation of a flexible, parametric non-stationary spatial model when the field size is too large to compute the multiv…