The seminar series consists of talks given by staff and guest speakers covering topics including statistics, machine learning, and computer vision. For more information about the talks, please refer to the individual pages on this wiki, or contact Kassie Fronczyk.
November 16, 2017  Professor James WilsonDepartment of Mathematics and Statistics, University of San FranciscoCommunity Detection in Multilayer Networks with Heterogeneous Community Structure 

October 19, 2017  Clifford AndersonBergmanSandia National LaboratoryUsing NIMBLE for Customized MCMC Sampling 

August 24, 2017  Katie SchmidtApplied Statistics Group, Computational Engineering DivisionOptimal Positioning of Mobile Radiation Sensors Using Mutual Information 

July 13, 2017  Beau DabbsApplied Statistics Group, Computational Engineering DivisionA Dynamic Stochastic Block Model for Anomaly Detection in Network Data 

June 15, 2017  Grant BoquetApplied Statistics Group, Computational Engineering Division, LLNLInitializing Iterative Parameter Estimation with Unsupervised Machine Learning 

May 25, 2017  Professor Sudipto BanerjeeDepartment of Biostatistics, UC Los AngelesHighDimensional Bayesian Geostatistics 

May 4, 2017  Michael MayhewMachine Learning Group, Computational Engineering Division, LLNLAgentBased Model Calibration via Bayesian Inference of Molecular Interaction Networks 

April 5, 2017  Professor Hao ChenDepartment of Statistics, UC DavisChangePoint Detection for Locally Dependent Data 

Department of Statistics, UC Davis Predicting Return Quantity for a Fashion Distributor via Gradient Boosting and Ensemble Learning 

March 8, 2017  Professor John KornakDepartment of Epidemiology and Biostatistics, UCSF School of MedicineBayesian Image Analysis in Fourier Space 

February 16, 2017  Mark RisserLawrence Berkeley LaboratoryBayesian Modeling and DecisionTheoretic Multiple Testing for Quantifying Human Influence on Extreme Weather Using Global Climate Models 

January 26, 2017  Professor David HigdonDepartment of Statistics, Social Decision and Analytics Laboratory, Virginia Tech UniversityConnecting ModelBased Predictions to Reality 

December 8, 2016  David WidemannMachine Learning Group, Computational Engineering Division, LLNLConvolutional and Recurrent Neural Networks for Author Attribution and Other Text Classification Tasks 

November 17, 2016  Cory LankerApplied Statistics Group, Computational Engineering Division, LLNLBetter Detection of Solids in Hyperspectral Images Using Spectral Features 

October 27, 2016  Brenton BlairApplied Statistics Group, Computational Engineering Division, LLNLGaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors 

September 13, 2016  Professor Max MorrisDepartment of Statistics, Iowa State UniversitySensitivity Analysis for Computer Models with Functional Inputs 

August 11, 2016  Professor Paul ConstantineDepartment of Applied Mathematics and Statistics, Colorado School of MinesActive subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies 

July 21st, 2016  Braden SoperGlobal SecurityComputing Applications Division, Computation Directorate, LLNLA Mixture Hidden Markov Model for PopulationLevel Cancer Screening Data 

June 9th, 2016  Michael GrosskopfDepartment of Statistics, Simon Fraser UniversityModel Calibration Toward Hierarchical Validation in Radiation Transport Experiments 

May 19th, 2016  Professor Athanasios KottasDepartment of Applied Mathematics and Statistics, UC Santa CruzBayesian Nonparametric Conditional Regression: Methods and Applications 

April 25th, 2016  Aaditya RamdasDepartments of EECS and Statistics, UC BerkeleyThe PFilter: Multilayer FDR Control for Grouped Hypotheses 

March 24, 2016  Goran KonjevodComputer Vision Group, Computational Engineering Division, LLNLDetecting Change in Graph Structure 

February 25th, 2016  Milton SmithPassive Remote Sensing Group, Global Security Directorate, LLNLHyperspectral Exploitation of Solid Materials: A Misuse of Statistics and Physics 

February 4th, 2016  Alan KaplanComputer Vision Group, Computational Engineering Division, LLNLLanguage Models and Semantic Embedding of Words 

December 16th, 2015  Timo BremerData Analysis Group, Computation Directorate, LLNLData Science for Analysis, Exploration, and Visualization of HighDimensional Data 

November 19th, 2015  Kofi BoakyeComputer Vision Group, Computational Engineering Division, LLNLAutomated Object Analysis in Overhead Imagery 

October 29th, 2015  Francisco BeltranApplied Statistics Group, Computational Engineering Directorate, LLNLEffects of Volcanic Aerosols on Temperature of the Lower Troposphere 

ASG 2015 Summer Students  
September 10th, 2015 
Devin FrancomDepartment of Applied Mathematics and Statistics, UC Santa CruzUsing Bayesian MARS for Computer Model Emulation and Sensitivity Analysis 

Matt HeinerDepartment of Applied Mathematics and Statistics, UC Santa CruzCharacterizing Natural Climate Variability of Mean Global Temperature in CMIP5 Models 

Mickey WarnerDepartment of Applied Mathematics and Statistics, UC Santa CruzCalibration of Material Strength Models 

August 20th, 2015  Shawn HigbeeGeospatial Image Analysis Group, Computational Engineering Division, LLNLA Practical Strategy for Spectral Library Partitioning and LeastSquares Identification 

Winners of the Applied Statistics Group JSM Student Travel Award for 2015  
July 17th, 2015 
Adam BloniarzDepartment of Statistics, UC BerkeleyDistributed Random Forests 

Tony PourmohamadDepartment of Applied Mathematics and Statistics, UC Santa CruzMultivariate Stochastic Process Models for Joint Regression and Classification 

May 28, 2015  Eric WangKnowledge Systems and Informatics Group, Computational Engineering Division, LLNLROPE: Recoverable OrderPreserving Embedding of Natural Language 

April 30, 2015  Kristin LennoxApplied Statistics Group, Computational Engineering Division, LLNLEverything Wrong with Statistics 

March 26, 2015  Ron WurtzRare Events Detection Group, Physical and Life Sciences Directorate, LLNLA SixtyYear Project to Build a Classifier 

February 26, 2015  Kenny Chowdhary and Bert DebusschereSandia National LaboratoryUncertainty Quantification for Climate Modeling: Efficient Sampling, Sensitivity Analysis and Model Reduction Algorithms 

Sandia National Laboratory Uncertainty Quantification for Climate Modeling: Efficient Sampling, Sensitivity Analysis and Model Reduction Algorithms 

December 4, 2014  Hao JiDepartment of Statistics, UC DavisOptimal Designs for Longitudinal Studies via Functional Data Analysis 

November 13, 20146  Professor Shane ReeseDepartment of Statistics, Brigham Young UniversityStatistical Emulation of Materials Science Computer Experiments 

October 23, 2014  Michael SchneiderOptical Sciences Group, Physical and Life Sciences Directorate, LLNLGravitational Lensing of Galaxies with a Hierarchical Dirichlet Process Prior 

September 25, 2014  Nicolas SchunckNuclear Theory and Modeling Group, Physical and Life Sciences Directorate, LLNLQuantifying Uncertainties of Nuclear Structure Models 

August 27, 2014  Devin FrancomDepartment of Applied Mathematics and Statistics, UC Santa CruzSensitivity Analysis Applied to Functional Model Outputs 

April 29, 2014  Brody HuvalDepartment of Computer Science, Stanford UniversityAutonomous Driving Research at Stanford via Deep Learning 

April 1, 2014  Ya Ju (Yaru) FanCenter for Applied Scientific Computing, Computation Directorate, LLNLMotifs in Wind Energy Generation Time Series Data 

February 14, 2014  Professor Bruno SansóDepartment of Applied Mathematics and Statistics, UC Santa CruzObservation‐Based Blended Projections from Ensembles of Regional Climate Models 

November 21, 2013  Professor Derek BinghamDepartment of Statistics, Simon Fraser UniversityModel Calibration and Tuning for MultiFidelity Computational Models 