Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: classification returned 95 record(s)
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Sunday, 07/29/2018
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Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
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Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
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Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
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A Multiseason Site Occupancy Model for Use When Sites Are Not Revisited Among Seasons
Brian R Gray, US Geological Survey; Darryl I MacKenzie, Proteus Wildlife Research Consultants; Richard A Erickson, US Geological Survey
2:45 PM
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:35 PM
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Point and Interval Estimations for Individualized MCID
Jiwei Zhao, State University of New York At Buffalo
4:20 PM
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Two-Stage Enrichment Clinical Trial Design with Adjustment for Misclassification in Predictive Biomarkers
Yong Lin, Rutgers, The State University of New Jersey; Weichung Joe Shih, Rutgers University; Shou-En Lu, Rutgers University
4:35 PM
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Identifying and Utilizing Research Topics in Conference Abstracts
Stas Kolenikov, Abt Associates; Alison Thaung, Abt Associates
4:55 PM
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Side Effect Reduction of Prior and Processed Information on Survey Design
Abdellatif Demnati, Independent Researcher
5:05 PM
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Budget-Constrained Group Testing Designs for Prevalence Estimation
Shih-Hao Huang, Academia Sinica
5:05 PM
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A Bayesian Nonparametric Model for Predicting Disease Status Using Longitudinal Profiles
Jeremy Gaskins, University of Louisville
5:05 PM
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Monday, 07/30/2018
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Statistical Challenges in Developing Data-Driven Discovery, Diagnosis, and Treatment of Psychiatric Diseases
Thaddeus Tarpey, Wright State University
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Adaptive Classification on Partial Linear Models
Chitrak Banerjee, Michigan State University; Lyudmila Sakhanenko, Michigan State University
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Total Signal Index: Measure of Noise Accumulation in Big Data
Miriam Elman, Oregon Health & Science Univ; Jessica Minnier, Oregon Health & Science University; Xiaohui Chang, Oregon State University; Dongseok Choi, Oregon Health & Science University
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Feature Selection and Classification Using Sparse Envelope Model
Minji Lee, University of Florida; Zhihua Su, University of Florida
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Covariate-Adjusted Tensor Classification in High-Dimensions
Yuqing Pan, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
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Functional Graphical Model Classification
Peide Li
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Sparse Variable Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander Lapanowski, Texas A&M; Irina Gaynanova, Texas A&M Univeristy
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Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
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Counting Maternal Deaths? You Better Bayes It! a Systematic Assessment of Underreporting and Misclassification in Registration of Maternal Deaths in High and Middle Income Countrie
Emily Peterson, University of Massachusetts Amherst; Leontine Alkema, University of Massachusetts Amherst
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The Classification of Stellar Systems Through Singular Spectrum Analysis
Kevin Matheson, Western Washington University; Kevin Covey, Western Washington University; Kimihiro Noguchi, Western Washington University
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Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang
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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
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Analysis of Matched Case-Control Study with a Misclassified Exposure
Samiran Sinha, Texas A & M University; Christopher Manuel, Texas A&M University; Suojin Wang, Texas A&M University
8:35 AM
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Learning from Dynamical Systems
Ingo Steinwart, University of Stuttgart
9:05 AM
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Statistical Inference of Two Classifiers by Partial Area Under the ROC Curve with Empirical Likelihood
Xue Ding, University of Kentucky; Mai Zhou, University of Kentucky
9:05 AM
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Evaluation of Nonresponse Adjustment Options on the National Health and Nutrition Examination Survey
William Cecere, Westat; Minsun Riddles, Westat; Te-Ching Chen, National Center for Health Statistics
9:20 AM
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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
11:45 AM
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Misclassification in Binary Choice Models with Sample Selection
Maria Felice Arezzo, Sapienza University of Rome; Giuseppina Guagnano, Sapienza University of Rome
11:50 AM
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Nonparametric Multiple Imputation for Bridging Between Different Industry Coding Systems
Jörg Drechsler, Institute for Employment Research; Birgit Pech, Amt für Statistik Berlin-Brandenburg
2:05 PM
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Sparse-Input Neural Networks for High-Dimensional Nonparametric Regression and Classification
Jean Feng; Noah Simon, University of Washington
2:05 PM
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A Weighted Learning Approach for Sufficient Dimension Reduction in Binary Classification
Seung Jun Shin, Korea University
2:20 PM
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Analysis of Decision Makers' Strategies
Mihoko Minami, Keio University
2:20 PM
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Model-Free Classification of Multi-Channel EEG via the Epsilon-Complexity Theory
Alexandra Piryatinska, San Francisco State University; Boris Darkhovsky, Institute for Systems Analysis FRC CRC RAS,
2:25 PM
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Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM
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Sequential Multiple Testing with Generalized Error Control: An Asymptotic Optimality Theory
Yanglei Song, University of Illinois at Urbana-Champaign; Georgios Fellouris, University of Illinois at Urbana-Champaign
2:35 PM
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A Scalable Classification Method Based on the Area Under the Receiver Operating Curve
Wenyi Wu, University of Michigan; Ji Zhu, University of Michigan
3:20 PM
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Network Augmented Classification
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
3:25 PM
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Ensemble of Iterative Classifier Chains for Multi-Label Classification
Zhoushanyue He, University of Waterloo; Matthias Schonlau, University of Waterloo
3:35 PM
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Tuesday, 07/31/2018
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Preventing False Discovery of Heterogeneous Treatment Effect Subgroups in Randomized Trials
Joseph Rigdon, Stanford University; Michael Baiocchi, Stanford University; Sanjay Basu, Stanford University School of Medicine
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Analysis of a Process Control Model Subject to Errors in Classification
William Griffith, University of Kentucky; Michelle L. Smith, Eastern Kentucky University
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Exploring the Classification of the Urban-Rural Continuum: Issues and Opportunities
Jason Brinkley, Abt Associates Inc
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Development and Comparison of Predictive Models for Woody Breast in Commercial Broilers
Andy Mauromoustakos, Univ. of Arkansas; JUAN P CALDAS-CUEVA, University of Arkansas; CASEY OWENS-HANNING, University of Arkansas
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Identifying Morphologies of Precancerous Cells
Theresa Gebert, Carnegie Mellon University
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Aggregated Pairwise Classification of Statistical Shapes with Optimal Points of Projection
Min Ho Cho, The Ohio State University; Sebastian Kurtek, The Ohio State University; Steve MacEachern, The Ohio State University
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Classification via Product Conditional Density Estimates: Blending LDA and QDA
Jiae Kim; Steve MacEachern, The Ohio State University
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An Alternative to the Carnegie Classifications: Using Structural Equation Models to Identify Similar Doctoral Institutions
Paul Harmon, Montana State University; Sarah McKnight, Montana State University; Laura Hildreth, Montana State University; Ian C. Godwin, Montana State University Office of Planning and Analysis; Mark Greenwood, Montana State University
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Application of Email Spam Filtering Algorithms to SMS Data
Yishu Xue, University Of Connecticut
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A Comprehensive Germ Cell Tumor Data Commons and Its Application in Risk Classification Model Validation
Bo Ci; Yang Xie, University of Texas Southwestern Medical Center ; Lindsay Frazier, Dana-Farber Cancer Institute; Matthew Murray, Cambridge University Hospitals; James Amatruda, University of Texas Southwestern Medical Center; Mark Krailo, University of Southern California; Samuel Volchenboum, University of Chicago; Bo Yao, University of Texas Southwestern Medical Center; Caihong Xia, Children's Oncology Group; Lin Xu, University of Texas Southwestern Medical Center; Danni Luo, University of Texas Southwestern Medical Center; Shin-Yi Lin, University of Texas Southwestern Medical Center
8:50 AM
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Robust Combination of Biomarkers for Classification with Covariate Adjustment
Ying Huang, Fred Hutchinson Cancer Research Center; Soyoung Kim, Medical College of Wisconsin
8:55 AM
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On the Use of Raking to Improve Regression Calibration: A Flexible Method to Address Error-Induced Bias Efficiently
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
9:00 AM
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Grouping Trajectories of Unbalanced Longitudinal Data: a Comparison Between Growth Curve Mixture Models and Clustering BLUPs from Mixed Effects Models
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital; Benjamin Leiby, Thomas Jefferson University
9:05 AM
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WITHDRAWN: Combining Biomarkers to Improve Classification Accuracy Under Heterogeneous Transformations
Aiyi Liu, BBB/DIPHR/NICHD; Wei Zhang, BBB/DIPHR/NICHD
9:15 AM
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Approaches to Matching Darknet Market Seller
Xiao Hui Tai, Carnegie Mellon University
9:15 AM
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A Multi-Step Classifier Addressing Cohort Heterogeneity Improves Performance of Prognostic Biomarkers in Three Cancer Types
Ellis Patrick, University of Sydney; Samuel Mueller, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
9:35 AM
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Budget-Constrained Feature Selection for Binary Classification: a Neyman-Pearson Approach
Yiling Chen, University of California, Los Angeles; Xin Tong, University of Southern California; Jingyi Li, University of California, Los Angeles
10:05 AM
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The Identification and Quantification of Pits, Cracks, and Corrosion from Container Material Image Surface Depth Measurements with Subsequent Container Classification
James Wendelberger, Los Alamos National Laboratory
10:50 AM
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Aggregated Pairwise Classification of Statistical Shapes with Optimal Points of Projection
Min Ho Cho, The Ohio State University; Sebastian Kurtek, The Ohio State University; Steve MacEachern, The Ohio State University
10:55 AM
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Classification via Product Conditional Density Estimates: Blending LDA and QDA
Jiae Kim; Steve MacEachern, The Ohio State University
11:10 AM
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Robust Estimation of Propensity Score Weights via Subclassification
Linbo Wang; Xiao-Hua Zhou, Peking University; Thomas Richardson, University of Washington
11:15 AM
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An Alternative to the Carnegie Classifications: Using Structural Equation Models to Identify Similar Doctoral Institutions
Paul Harmon, Montana State University; Sarah McKnight, Montana State University; Laura Hildreth, Montana State University; Ian C. Godwin, Montana State University Office of Planning and Analysis; Mark Greenwood, Montana State University
11:20 AM
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Application of Email Spam Filtering Algorithms to SMS Data
Yishu Xue, University Of Connecticut
11:55 AM
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The Use of Machine Learning Methods to Improve the US National Resources Inventory Survey
Zhengyuan Zhu, Iowa State University
3:05 PM
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Correcting for Exposure Misclassification in Meta-Analysis: a Bayesian Approach
Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota; Richard Maclehose, University of Minnesota; Haitao Chu, University of Minnesota Twin Cities
3:05 PM
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Hyperplane Estimation in High Dimensions
Zhiyuan Lu, University of Michigan
3:20 PM
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Wednesday, 08/01/2018
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Secondary Data Analysis to Predict Therapeutic Outcome of Colorectal Cancer Patients
Hannah Monique Bredikhin, Purdue University; Jun Xie, Purdue University
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Automatic Extraction of Cell Nuclei from Pathological Images
Brendan Caseria, The University of Texas at Dallas; Alsadig Ali, The University of Texas at Dallas; Yan Cao, The University of Texas at Dallas; Yifei Lou, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
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Reducing the Effects of Misclassification in Sequential Multiple Assignment Randomized Trials (SMART)
Jun He, Virginia Commonwealth University; Donna McClish, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
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Identifying Misclassifications in Consumer Expenditure Data
Clayton Knappenberger, U.S. Bureau of Labor Statistics
8:35 AM
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A Latent Bayesian Classification Model to Predict Kidney Obstruction Based on Renography and Expert Ratings
Changgee Chang, University of Pennsylvania; Jeong Hoon Jang, Emory University; Amita Manatunga, Emory University; Qi Long, University of Pennsylvania
9:05 AM
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A Simulation Study on the Performance of Deep Learning Methods for Multi-Category Classification
Dawei Liu, Biogen; Ih Chang, Biogen
9:50 AM
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Reducing the Effects of Misclassification in Sequential Multiple Assignment Randomized Trials (SMART)
Jun He, Virginia Commonwealth University; Donna McClish, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
10:10 AM
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Regression Trees and Ensemble Methods for Multivariate Outcomes
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan
10:35 AM
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Sparse Quadratic Classification Rules via Linear Dimension Reduction
Tianying Wang, Texas A & M University; Irina Gaynanova, Texas A&M Univeristy
10:35 AM
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Order Effects and Occupational Misclassification on the Agricultural Labor Survey
David Biagas, National Agricultural Statistics Service
10:50 AM
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The GUIDE Approach to Missing Data
Wei-Yin Loh, University of Wisconsin
11:35 AM
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Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM
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Assessing Authorship of Beatles Songs from Musical Content: Bayesian Classification Modeling from Bags-Of-Words Representations
Mark Glickman, Harvard University; Jason Brown, Dept of Mathematics, Dalhousie University; Ryan Song, School of Engineering and Applied Science, Harvard University
12:05 PM
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Classification of Walking and Stair Climbing Based on Raw Accelerometry Data
William Fadel, Indiana University; Jacek K Urbanek, Johns Hopkins University; Steven R Albertson, Indiana University ; Xiaochun Li, Indiana University; Andrea K Chomistek, Indiana University; Jaroslaw Harezlak, Indiana University Bloomington
2:45 PM
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Kernel-Based Nonlinear Dimension Reduction for Automatic Gender Classification
Katherine Kempfert, University of Florida; Yishi Wang, University of North Carolina Wilmington; Cuixian Chen, University of North Carolina Wilmington
2:50 PM
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Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases
Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
2:55 PM
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A Classification Framework for Forecast Model Selection
Thiyanga Talagala, Monash University; Rob J Hyndman, Monash University; George Athanasopoulos, Monash University
3:20 PM
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Principal Weighted Support Vector Machines for Sufficient Dimension Reduction in Binary Classification
Hao Helen Zhang, University of Arizona
3:25 PM
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Dimension Reduction of High-Dimensional Data Sets Based on Stepwise SVM
Elizabeth Chou, National Chengchi University; Tzu-Wei Ko, National Chengchi University
3:35 PM
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Thursday, 08/02/2018
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Statistical Properties of Deep Networks
Peter Bartlett, UC Berkeley
9:25 AM
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Bayesian Sensitivity Analysis to Unmeasured Confounding for Misclassified Data
Joon Jin Song, Baylor University; Qi Zhou, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
10:35 AM
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Scoring Rules for Probabilistic Binary Classification
Matthew Parry, University of Otago
11:00 AM
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Sequentially Weighted Nearest Neighbour Classifier
Mehdi Soleymani, The University of Auckland
11:05 AM
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Semi-Supervised Learning for Joint Association and Classification Analysis of Multimodal Data
Yunfeng Zhang, Texas A&M University; Irina Gaynanova, Texas A&M Univeristy
11:35 AM
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Improved Modeling of Imbalanced Data for Dietary Lapse Prediction
Fengqing Zhang, Drexel University; Tinashe M Tapera , Drexel University; Stephanie P Goldstein, Drexel University; Evan Forman, Drexel University
11:35 AM
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Classification of Healthcare Data: When Scarcity of Labeled Data Is the Norm Semi-Supervised Learning Methods Can Come to the Rescue
Didem Egemen, The George Washington University; Paulo Macedo, Integrity Management Services Inc.; Sewit Araia, Integrity Management Services Inc.
11:35 AM
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Evaluating the Ability of a Biomarker to Improve the Diagnosis of Malaria Infection in Malaria 'Challenge' Trials
Holly Janes, Fred Hutchinson Cancer Research Center
11:50 AM
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Article Screening for Meta-Analysis
Jason Wang, UCLA; Robert Weiss, UCLA
11:50 AM
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