Technical Reports | Technical Reports

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Number	Title	Published
UCSC-SOE-17-14	GameSpace: An Explorable Visualization of the Videogame Medium	07/18/2017
UCSC-SOE-17-15	Performance Investigation of Multi-tier Web Applications in Xen Virtualized Environment	08/29/2017
UCSC-SOE-17-17	Joint Modeling of Longitudinal Relational Data and Exogenous Variables	10/23/2017
UCSC-SOE-18-01	Cudele: An API and Framework for Programmable Consistency and Durability in a Global Namespace	01/18/2018
UCSC-SOE-18-02	Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data	01/24/2018
UCSC-SOE-18-03	GeoAR Android App and Backend POI Helper	01/25/2018
UCSC-SOE-18-04	Emotion Regulation in the Wild: The WEHAB Approach	02/20/2018
UCSC-SOE-18-05	Nonparametric Bayesian modeling and estimation for renewal processes	03/26/2018
UCSC-SOE-18-06	Structured priors for sparse probability vectors with application to model selection in Markov chains	03/27/2018
UCSC-SOE-18-07	A Bayesian model for estimation and order selection in high order Markov chains	04/03/2018
UCSC-SOE-18-08	Tintenfisch: File System Namespace Schemas and Generators	04/07/2018
UCSC-SOE-18-09	ROOT Files for Computer Scientists	05/11/2018
UCSC-SOE-18-10	RootUtils: a Library to Better Understand ROOT Files	05/16/2018
UCSC-SOE-18-11	Toward Efficient Data Prefetching Algorithms for Scientific Domains	05/17/2018
UCSC-SOE-18-12	Comparison and Assessment of the Extremes of Different Types of Climate Model Simulations	07/24/2018
UCSC-SOE-18-13	Neural Networks with Structural Resistance to Adversarial Attacks	09/24/2018
UCSC-SOE-18-14	The Statistical Filter Approach to Constrained Optimization	10/29/2018
UCSC-SOE-18-15	Bayesian Tensor Response Regression With an Application to Brain Activation Studies	11/29/2018
UCSC-SOE-18-16	High Dimensional Bayesian Network Classification with Low Rank and Sparse Shrinkage Priors	12/17/2018
UCSC-SOE-19-01	A New Family of Neural Networks Provably Resistant to Adversarial Attacks	01/23/2019
UCSC-SOE-19-02	Identifying Fake News from Twitter Sharing Data: A Large-Scale Study	02/15/2019
UCSC-SOE-19-03	FacetBook	03/11/2019
UCSC-SOE-19-04	Joint Modeling of Longitudinal Relational Data and Exogenous Variables	04/08/2019
UCSC-SOE-19-05	Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data	04/08/2019
UCSC-SOE-19-06	Comparison and assessment of large-scale surface temperature in climate model simulations	04/17/2019
UCSC-SOE-19-07	Multi-Scale Shotgun Stochastic Search for Large Spatial Datasets	04/17/2019
UCSC-SOE-19-08	Distributed Implementation of Nearest-Neighbor Gaussian Processes	09/12/2019
UCSC-SOE-19-09	Landmark-based Emulation for Models with Misaligned Functional Response	11/01/2019
UCSC-SOE-19-10	Modelling for Poisson process intensities over irregular spatial domains	11/16/2019
UCSC-SOE-19-11	Specification of Basis Spacing for Process Convolution Gaussian Process Models	11/27/2019
UCSC-SOE-20-01	Bayesian Nonparametric Density Autoregression with Lag Selection	03/22/2020
UCSC-SOE-20-02	Bayesian Optimization via Barrier Functions	05/03/2020
UCSC-SOE-20-03	Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data	06/21/2020
UCSC-SOE-20-04	Bayesian Tensor Response Regression With An Application to Brain Activation Studies	06/21/2020
UCSC-SOE-20-05	Privacy Preserving Efficient Computation in Bayesian High Dimensional Regression With Big Data	06/22/2020
UCSC-SOE-20-06	Joint Bayesian Estimation of Voxel Activation and Interregional Connectivity in FMRI Experiments	06/26/2020
UCSC-SOE-20-07	Erlang mixture modeling for Poisson process intensities	09/01/2020
UCSC-SOE-20-08	Nonparametric Bayesian Modeling and Inference for Hawkes Processes	09/01/2020
UCSC-SOE-20-09	Bayesian Methods for Tensor Regressions	09/14/2020
UCSC-SOE-20-10	On Construction and Estimation of Stationary Mixture Transition Distribution Models	10/23/2020
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-20-12	Convergence Rate for Predictive Densities of Bayesian Generalized Models with a Scalar Response and Symmetric Tensor Predictor	10/26/2020
UCSC-SOE-20-13	High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors	10/26/2020
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-21-01	Distributed Bayesian Kriging	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-21-03	Bayesian Supervised Clustering of Undirected Networks with Cluster Specific Inference on Significant Nodes and Edges	05/12/2021
UCSC-SOE-21-04	Bayesian Dynamic Feature Partitioning for High-Dimensional Regression with Big Data	05/28/2021
UCSC-SOE-21-05	Bayesian Tensor Response Regression With an Application to Brain Activation Studies	05/30/2021
UCSC-SOE-21-06	Comparing Emulation Methods for a High-resolution Storm Surge Model	06/01/2021

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