NumberTitlePublishedsort ascending
UCSC-SOE-22-02Inference for multivariate peaks over threshold models01/14/2022
UCSC-SOE-22-01Structured mixture of continuation-ratio logits models for ordinal regression01/10/2022
UCSC-SOE-21-12Self-Supervision for Scene Graph Embeddings11/18/2021
UCSC-SOE-21-11Bayesian Geostatistical Modeling for Discrete-Valued Processes10/20/2021
UCSC-SOE-21-10exdqlm: An R Package for Estimation and Analysis of Flexible Dynamic Quantile Linear Models08/12/2021
UCSC-SOE-21-09Labelled Control Improvisation06/18/2021
UCSC-SOE-21-08Bayesian Quantile Mixture Regression06/12/2021
UCSC-SOE-21-07Nearest-Neighbor Geostatistical Models for Non-Gaussian Data06/09/2021
UCSC-SOE-21-06Comparing Emulation Methods for a High-resolution Storm Surge Model06/01/2021
UCSC-SOE-21-05Bayesian Tensor Response Regression With an Application to Brain Activation Studies05/30/2021
UCSC-SOE-21-04Bayesian Dynamic Feature Partitioning for High-Dimensional Regression with Big Data05/28/2021
UCSC-SOE-21-03Bayesian Supervised Clustering of Undirected Networks with Cluster Speci fic Inference on Signi ficant Nodes and Edges05/12/2021
UCSC-SOE-21-02Convergence Rate for Predictive Densities of Bayes Generalized Linear Models with a Scalar Response and Symm. Tensor Predictor05/12/2021
UCSC-SOE-21-01Distributed Bayesian Kriging05/12/2021
UCSC-SOE-20-14Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric12/14/2020
UCSC-SOE-20-13High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors10/26/2020
UCSC-SOE-20-12Convergence Rate for Predictive Densities of Bayesian Generalized Models with a Scalar Response and Symmetric Tensor Predictor10/26/2020
UCSC-SOE-20-11Bayesian Supervised Clustering of Undirected Networks for Understanding Impacts of the Brain Network on Human Creativity10/26/2020
UCSC-SOE-20-10On Construction and Estimation of Stationary Mixture Transition Distribution Models10/23/2020
UCSC-SOE-20-09Bayesian Methods for Tensor Regressions09/14/2020
UCSC-SOE-20-08Nonparametric Bayesian Modeling and Inference for Hawkes Processes09/01/2020
UCSC-SOE-20-07Erlang mixture modeling for Poisson process intensities09/01/2020
UCSC-SOE-20-06Joint Bayesian Estimation of Voxel Activation and Interregional Connectivity in FMRI Experiments06/26/2020
UCSC-SOE-20-05Privacy Preserving Efficient Computation in Bayesian High Dimensional Regression With Big Data06/22/2020
UCSC-SOE-20-04Bayesian Tensor Response Regression With An Application to Brain Activation Studies06/21/2020
UCSC-SOE-20-03Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data06/21/2020
UCSC-SOE-20-02Bayesian Optimization via Barrier Functions05/03/2020
UCSC-SOE-20-01Bayesian Nonparametric Density Autoregression with Lag Selection03/22/2020
UCSC-SOE-19-11Specification of Basis Spacing for Process Convolution Gaussian Process Models11/27/2019
UCSC-SOE-19-10Modelling for Poisson process intensities over irregular spatial domains11/16/2019
UCSC-SOE-19-09Landmark-based Emulation for Models with Misaligned Functional Response11/01/2019
UCSC-SOE-19-08Distributed Implementation of Nearest-Neighbor Gaussian Processes09/12/2019
UCSC-SOE-19-07Multi-Scale Shotgun Stochastic Search for Large Spatial Datasets04/17/2019
UCSC-SOE-19-06Comparison and assessment of large-scale surface temperature in climate model simulations04/17/2019
UCSC-SOE-19-05Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data04/08/2019
UCSC-SOE-19-04Joint Modeling of Longitudinal Relational Data and Exogenous Variables04/08/2019
UCSC-SOE-19-02Identifying Fake News from Twitter Sharing Data: A Large-Scale Study02/15/2019
UCSC-SOE-19-01A New Family of Neural Networks Provably Resistant to Adversarial Attacks01/23/2019
UCSC-SOE-18-16High Dimensional Bayesian Network Classification with Low Rank and Sparse Shrinkage Priors12/17/2018
UCSC-SOE-18-15Bayesian Tensor Response Regression With an Application to Brain Activation Studies11/29/2018
UCSC-SOE-18-14The Statistical Filter Approach to Constrained Optimization10/29/2018
UCSC-SOE-18-13Neural Networks with Structural Resistance to Adversarial Attacks09/24/2018
UCSC-SOE-18-12Comparison and Assessment of the Extremes of Different Types of Climate Model Simulations07/24/2018
UCSC-SOE-18-11Toward Efficient Data Prefetching Algorithms for Scientific Domains05/17/2018
UCSC-SOE-18-10RootUtils: a Library to Better Understand ROOT Files05/16/2018
UCSC-SOE-18-09ROOT Files for Computer Scientists05/11/2018
UCSC-SOE-18-08Tintenfisch: File System Namespace Schemas and Generators04/07/2018
UCSC-SOE-18-07A Bayesian model for estimation and order selection in high order Markov chains04/03/2018
UCSC-SOE-18-06Structured priors for sparse probability vectors with application to model selection in Markov chains03/27/2018

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