Technical Reports | Technical Reports

You can search for technical reports by entering some keywords in the space provided. Keywords must be at least three characters long.

Keywords

Department

Year

Pages

Number	Title	Published
UCSC-CRL-07-09	Assigning Trust to Wikipedia Content	11/01/2007
UCSC-SOE-08-07	Assigning Trust to Wikipedia Content	05/13/2008
AMS2007-10	Asymptotic optimality of multicenter Voronoi configurations for random field estimation	12/31/2007
UCSC-SOE-15-17	Asynchronous Distributed Gibbs Sampling	09/25/2015
UCSC-SOE-12-21	Attributing Authorship of Revisioned Content	11/27/2012
UCSC-SOE-14-02	Automatic Generation of Behavioral Hard Disk Drive Access Time Models	03/28/2014
UCSC-SOE-11-23	Automatic Transitional Animation Between Visualizations	08/24/2011
UCSC-CRL-05-03	Average Reward Timed Games	06/25/2005
UCSC-CRL-00-20	Avoiding Routing Instability During Graceful Shutdown of OSPF	12/20/2000
UCSC-CRL-91-11	BAYESIAN APPROACH TO EARLY PROBABILITY ESTIMATION IN BINARY ADAPTIVE CODING	05/01/1991
UCSC-CRL-91-45	BORG: A RECONFIGURABLE PROTOTYPING BOARD USING FIELD-PROGRAMMABLE GATE ARRAYS	11/01/1991
UCSC-CRL-92-38	BOUNDS ON APPROXIMATE STEEPEST DESCENT FOR LIKELIHOOD MAXIMIZATION IN EXPONENTIAL FAMILIES	10/01/1992
UCSC-CRL-91-44	BOUNDS ON THE SAMPLE COMPLEXITY OF BAYESIAN LEARNING USING INFORMATION THEORY AND THE VC DIMENSION	03/01/1991
UCSC-CRL-06-08	BaCTiL: Base CodeTime Language	05/19/2006
UCSC-SOE-13-09	Bagging During Markov Chain Monte Carlo for Smoother Predictions	07/07/2013
UCSC-SOE-22-05	Bayesian Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	05/28/2022
UCSC-SOE-22-03	Bayesian Data Sketching for Spatial Regression Models	05/28/2022
UCSC-SOE-22-10	Bayesian Data Sketching for Spatial Regression Models	05/31/2022
UCSC-SOE-12-05	Bayesian Deconvolution of Oil Well Test Data Using Gaussian Processes	05/31/2012
UCSC-SOE-21-04	Bayesian Dynamic Feature Partitioning for High-Dimensional Regression with Big Data	05/28/2021
UCSC-SOE-19-05	Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data	04/08/2019
UCSC-SOE-20-03	Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data	06/21/2020
UCSC-SOE-12-11	Bayesian Factor Models in Characterizing Molecular Adaptation	08/08/2012
UCSC-SOE-21-11	Bayesian Geostatistical Modeling for Discrete-Valued Processes	10/20/2021
AMS2007-23	Bayesian Guidance for Robust Pattern Search Optimization	12/31/2007
AMS2008-2	Bayesian Guided Pattern Search for Robust Local Optimization	01/02/2008
UCSC-SOE-10-15	Bayesian Inference for Sensitivity Analysis of Computer Simulators, with an Application to Radiative Transfer Models	04/23/2010
AMS2003-4	Bayesian Methods for Phylogeny Independent Detection of Positively Selected Amino Acid Sites	12/31/2003
UCSC-SOE-20-09	Bayesian Methods for Tensor Regressions	09/14/2020
AMS2005-19	Bayesian Mixture Modeling for Spatial Poisson Process Intensities, with Applications to Extreme Value Analysis	12/31/2005
UCSC-SOE-22-08	Bayesian Multi-object Data Integration in the Study of Primary Progressive Aphasia	05/31/2022
AMS2004-1	Bayesian Non-parametric Analysis of Stock-Recruitment Relationships	12/31/2004
UCSC-SOE-11-20	Bayesian Nonparametric Analysis of Neuronal Intensity Rates	07/25/2011
UCSC-SOE-17-13	Bayesian Nonparametric Areal Wombling for Small Scale Maps with an Application to Urinary Bladder Cancer Data from Connecticut	06/23/2017
UCSC-SOE-20-01	Bayesian Nonparametric Density Autoregression with Lag Selection	03/22/2020
UCSC-SOE-22-11	Bayesian Nonparametric Erlang Mixture Modeling for Survival Analysis	07/26/2022
AMS2008-4	Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities	01/04/2008
UCSC-SOE-16-06	Bayesian Nonparametric Modeling for Integro-Difference Equations	03/01/2016
UCSC-SOE-15-14	Bayesian Nonparametric Modeling for Multivariate Ordinal Regression	07/03/2015
AMS2005-6	Bayesian Nonparametric Modeling in Quantile Regression	12/31/2005
UCSC-SOE-14-13	Bayesian Nonparametric Predictive Modeling of Group Health Claims	10/20/2014
AMS2004-5	Bayesian Nonparametric Spatial Modeling With Dirichlet Processes Mixing	12/31/2004
AMS2006-20	Bayesian Nonparametric Spatio-Temporal Models for Disease Incidence Data	12/15/2006
UCSC-SOE-11-25	Bayesian Nonstationary Gaussian Process Models for Large Datasets via Treed Process Convolutions	12/05/2011
UCSC-SOE-20-02	Bayesian Optimization via Barrier Functions	05/03/2020
UCSC-SOE-09-09	Bayesian Protein Structure Alignment	03/05/2009
UCSC-SOE-21-08	Bayesian Quantile Mixture Regression	06/12/2021
UCSC-SOE-18-02	Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data	01/24/2018
UCSC-SOE-12-12	Bayesian Semiparametric Regression Models to Characterize Molecular Evolution	08/13/2012
UCSC-SOE-20-11	Bayesian Supervised Clustering of Undirected Networks for Understanding Impacts of the Brain Network on Human Creativity	10/26/2020

BSOE faculty and students can add a new technical report or edit their existing technical reports.