Technical Reports

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Number	Title	Published
UCSC-SOE-24-02	Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data	05/14/2024
UCSC-SOE-24-01	A New Family of Error Distributions for Bayesian Quantile Regression	04/07/2024
UCSC-SOE-23-13	A Heterogeneous Spatial Model for Soil Carbon Mapping of the Contiguous United States Using VNIR Spectra	11/27/2023
UCSC-SOE-23-12	Anomaly Detection in Extremes	10/24/2023
UCSC-SOE-23-11	Understanding an Acquisition Function Family for Bayesian Optimization	10/16/2023
UCSC-SOE-23-10	EcoScape: A Model for Species-Specific Functional Habitat Connectivity	10/01/2023
UCSC-SOE-23-09	A spectral theorem on the cluster structure of real-world graphs	05/26/2023
UCSC-SOE-23-08	Creativity and Consistency in Musical Perception of Tangible Objects	05/25/2023
UCSC-SOE-23-07	Mixture Modeling for Temporal Point Processes with Memory	05/16/2023
UCSC-SOE-23-06	Designing a mixed-initiative multi-user VR interface for wildfire mitigation	03/29/2023
UCSC-SOE-23-05	Flexible Bayesian Modeling for Longitudinal Binary and Ordinal Responses	03/26/2023
UCSC-SOE-23-04	Benchmarking Image Generators on Open-Vocabulary Scene Graphs	03/24/2023
UCSC-SOE-23-03	Benchmarking Image Generators on Open-Vocabulary Scene Graphs	03/24/2023
UCSC-SOE-23-02	Scalable Model Selection with Mixtures of g-Priors in Large Data Settings	03/06/2023
UCSC-SOE-23-01	Multivariate Nearest-Neighbors Gaussian Processes with Random Covariance Matrices	01/19/2023
UCSC-SOE-22-12	A Covariance Based Clustering for Tensor Objects	08/24/2022
UCSC-SOE-22-11	Bayesian Nonparametric Erlang Mixture Modeling for Survival Analysis	07/26/2022
UCSC-SOE-22-10	Bayesian Data Sketching for Spatial Regression Models	05/31/2022
UCSC-SOE-22-09	A Bayesian Covariance Based Clustering for High Dimensional Tensors	05/31/2022
UCSC-SOE-22-08	Bayesian Multi-object Data Integration in the Study of Primary Progressive Aphasia	05/31/2022
UCSC-SOE-22-07	A Bayesian Covariance Based Clustering for High Dimensional Tensors	05/31/2022
UCSC-SOE-22-06	Distributed Bayesian Inference in Massive Spatial Data	05/28/2022
UCSC-SOE-22-05	Bayesian Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	05/28/2022
UCSC-SOE-22-04	Sketching in High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors	05/28/2022
UCSC-SOE-22-03	Bayesian Data Sketching for Spatial Regression Models	05/28/2022
UCSC-SOE-22-02	Bayesian non-parametric inference for multivariate peaks over threshold models	01/14/2022
UCSC-SOE-22-01	Structured mixture of continuation-ratio logits models for ordinal regression	01/10/2022
UCSC-SOE-21-12	Self-Supervision for Scene Graph Embeddings	11/18/2021
UCSC-SOE-21-11	Bayesian Geostatistical Modeling for Discrete-Valued Processes	10/20/2021
UCSC-SOE-21-10	exdqlm: An R Package for Estimation and Analysis of Flexible Dynamic Quantile Linear Models	08/12/2021
UCSC-SOE-21-09	Labelled Control Improvisation	06/18/2021
UCSC-SOE-21-08	Bayesian Quantile Mixture Regression	06/12/2021
UCSC-SOE-21-07	Nearest-Neighbor Geostatistical Models for Non-Gaussian Data	06/09/2021
UCSC-SOE-21-06	Comparing Emulation Methods for a High-resolution Storm Surge Model	06/01/2021
UCSC-SOE-21-05	Bayesian Tensor Response Regression With an Application to Brain Activation Studies	05/30/2021
UCSC-SOE-21-04	Bayesian Dynamic Feature Partitioning for High-Dimensional Regression with Big Data	05/28/2021
UCSC-SOE-21-03	Bayesian Supervised Clustering of Undirected Networks with Cluster Specific Inference on Significant Nodes and Edges	05/12/2021
UCSC-SOE-21-02	Convergence Rate for Predictive Densities of Bayes Generalized Linear Models with a Scalar Response and Symm. Tensor Predictor	05/12/2021
UCSC-SOE-21-01	Distributed Bayesian Kriging	05/12/2021
UCSC-SOE-20-14	Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric	12/14/2020
UCSC-SOE-20-13	High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors	10/26/2020
UCSC-SOE-20-12	Convergence Rate for Predictive Densities of Bayesian Generalized Models with a Scalar Response and Symmetric Tensor Predictor	10/26/2020
UCSC-SOE-20-11	Bayesian Supervised Clustering of Undirected Networks for Understanding Impacts of the Brain Network on Human Creativity	10/26/2020
UCSC-SOE-20-10	On Construction and Estimation of Stationary Mixture Transition Distribution Models	10/23/2020
UCSC-SOE-20-09	Bayesian Methods for Tensor Regressions	09/14/2020
UCSC-SOE-20-08	Nonparametric Bayesian Modeling and Inference for Hawkes Processes	09/01/2020
UCSC-SOE-20-07	Erlang mixture modeling for Poisson process intensities	09/01/2020
UCSC-SOE-20-06	Joint Bayesian Estimation of Voxel Activation and Interregional Connectivity in FMRI Experiments	06/26/2020
UCSC-SOE-20-05	Privacy Preserving Efficient Computation in Bayesian High Dimensional Regression With Big Data	06/22/2020
UCSC-SOE-20-04	Bayesian Tensor Response Regression With An Application to Brain Activation Studies	06/21/2020

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