Pages

NumberTitlesort descendingPublished
UCSC-SOE-12-21Attributing Authorship of Revisioned Content11/27/2012
UCSC-SOE-14-02Automatic Generation of Behavioral Hard Disk Drive Access Time Models03/28/2014
UCSC-SOE-11-23Automatic Transitional Animation Between Visualizations08/24/2011
UCSC-CRL-05-03Average Reward Timed Games06/25/2005
UCSC-CRL-00-20Avoiding Routing Instability During Graceful Shutdown of OSPF12/20/2000
UCSC-CRL-91-11BAYESIAN APPROACH TO EARLY PROBABILITY ESTIMATION IN BINARY ADAPTIVE CODING05/01/1991
UCSC-CRL-91-45BORG: A RECONFIGURABLE PROTOTYPING BOARD USING FIELD-PROGRAMMABLE GATE ARRAYS11/01/1991
UCSC-CRL-92-38BOUNDS ON APPROXIMATE STEEPEST DESCENT FOR LIKELIHOOD MAXIMIZATION IN EXPONENTIAL FAMILIES10/01/1992
UCSC-CRL-91-44BOUNDS ON THE SAMPLE COMPLEXITY OF BAYESIAN LEARNING USING INFORMATION THEORY AND THE VC DIMENSION03/01/1991
UCSC-CRL-06-08BaCTiL: Base CodeTime Language05/19/2006
UCSC-SOE-13-09Bagging During Markov Chain Monte Carlo for Smoother Predictions07/07/2013
UCSC-SOE-22-05Bayesian Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data05/28/2022
UCSC-SOE-22-03Bayesian Data Sketching for Spatial Regression Models05/28/2022
UCSC-SOE-22-10Bayesian Data Sketching for Spatial Regression Models05/31/2022
UCSC-SOE-12-05Bayesian Deconvolution of Oil Well Test Data Using Gaussian Processes05/31/2012
UCSC-SOE-21-04Bayesian Dynamic Feature Partitioning for High-Dimensional Regression with Big Data05/28/2021
UCSC-SOE-19-05Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data04/08/2019
UCSC-SOE-20-03Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data06/21/2020
UCSC-SOE-12-11Bayesian Factor Models in Characterizing Molecular Adaptation08/08/2012
UCSC-SOE-21-11Bayesian Geostatistical Modeling for Discrete-Valued Processes10/20/2021
AMS2007-23Bayesian Guidance for Robust Pattern Search Optimization12/31/2007
AMS2008-2Bayesian Guided Pattern Search for Robust Local Optimization01/02/2008
UCSC-SOE-10-15Bayesian Inference for Sensitivity Analysis of Computer Simulators, with an Application to Radiative Transfer Models04/23/2010
AMS2003-4Bayesian Methods for Phylogeny Independent Detection of Positively Selected Amino Acid Sites12/31/2003
UCSC-SOE-20-09Bayesian Methods for Tensor Regressions09/14/2020
AMS2005-19Bayesian Mixture Modeling for Spatial Poisson Process Intensities, with Applications to Extreme Value Analysis12/31/2005
UCSC-SOE-22-08Bayesian Multi-object Data Integration in the Study of Primary Progressive Aphasia05/31/2022
AMS2004-1Bayesian Non-parametric Analysis of Stock-Recruitment Relationships12/31/2004
UCSC-SOE-11-20Bayesian Nonparametric Analysis of Neuronal Intensity Rates07/25/2011
UCSC-SOE-17-13Bayesian Nonparametric Areal Wombling for Small Scale Maps with an Application to Urinary Bladder Cancer Data from Connecticut06/23/2017
UCSC-SOE-20-01Bayesian Nonparametric Density Autoregression with Lag Selection03/22/2020
UCSC-SOE-22-11Bayesian Nonparametric Erlang Mixture Modeling for Survival Analysis07/26/2022
AMS2008-4Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities01/04/2008
UCSC-SOE-16-06Bayesian Nonparametric Modeling for Integro-Difference Equations03/01/2016
UCSC-SOE-15-14Bayesian Nonparametric Modeling for Multivariate Ordinal Regression07/03/2015
AMS2005-6Bayesian Nonparametric Modeling in Quantile Regression12/31/2005
UCSC-SOE-14-13Bayesian Nonparametric Predictive Modeling of Group Health Claims10/20/2014
AMS2004-5Bayesian Nonparametric Spatial Modeling With Dirichlet Processes Mixing12/31/2004
AMS2006-20Bayesian Nonparametric Spatio-Temporal Models for Disease Incidence Data12/15/2006
UCSC-SOE-11-25Bayesian Nonstationary Gaussian Process Models for Large Datasets via Treed Process Convolutions12/05/2011
UCSC-SOE-20-02Bayesian Optimization via Barrier Functions05/03/2020
UCSC-SOE-09-09Bayesian Protein Structure Alignment03/05/2009
UCSC-SOE-21-08Bayesian Quantile Mixture Regression06/12/2021
UCSC-SOE-18-02Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data01/24/2018
UCSC-SOE-12-12Bayesian Semiparametric Regression Models to Characterize Molecular Evolution08/13/2012
UCSC-SOE-20-11Bayesian Supervised Clustering of Undirected Networks for Understanding Impacts of the Brain Network on Human Creativity10/26/2020
UCSC-SOE-21-03Bayesian Supervised Clustering of Undirected Networks with Cluster Speci fic Inference on Signi ficant Nodes and Edges05/12/2021
UCSC-SOE-20-04Bayesian Tensor Response Regression With An Application to Brain Activation Studies06/21/2020
UCSC-SOE-18-15Bayesian Tensor Response Regression With an Application to Brain Activation Studies11/29/2018
UCSC-SOE-21-05Bayesian Tensor Response Regression With an Application to Brain Activation Studies05/30/2021

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