Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: detection returned 112 record(s)
|
|
Sunday, 07/29/2018
|
Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
|
Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
|
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
|
Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
|
Optimal Dose Selection Considering Both Toxicity and Activity Data; Plateau Detection for Molecularly Targeted Agents
Maria Athina Altzerinakou, Inserm; Xavier Paoletti, Gustave Roussy
2:20 PM
|
Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM
|
Analysis and Visualization for Large-Scale Scientific Simulations
Joanne R. Wendelberger, Los Alamos National Laboratory; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory
2:30 PM
|
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
2:30 PM
|
Exploring Clustering Applications in Outlier Detection for Administrative Data Sources
Elizabeth Ayres, Statistics Canada
2:50 PM
|
Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:40 PM
|
Within Laboratory Variance Outlier Detection: An Alternative to Cochran's Test
Michael Morton, Altria Client Services
4:05 PM
|
Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction
Yi Li
4:05 PM
|
DETECTING ADVERSE DRUG EFFECTS from PHARMACOVIGILANCE DATABASES
Yu Gao, University of Waterloo; Kun Liang, University of Waterloo
4:20 PM
|
De Novo Detection and Accurate Inference of Differentially Methylated Regions
Keegan Korthauer, Dana-Farber Cancer Institute; Sutirtha Chakraborty, Novartis; Yuval Benjamini, Hebrew University of Jerusalem; Rafael Irizarry, Harvard University
4:20 PM
|
New Methods for Incorporating Network Cyclic Structures to Improve Community Detection
Behnaz Moradijamei, Kansas State University; Michael Higgins, KANSAS STATE UNIVERSITY; Heman Shakeri, Kansas State University
4:35 PM
|
Detection of Cell-Type-Specific Risk-CpG Sites in Epigenome-Wide Association Studies
Xiangyu Luo, The Chinese University of Hong Kong; Can Yang, The Hong Kong University of Science and Technology; Yingying Wei, The Chinese University of Hong Kong
4:50 PM
|
A Score Test for Latent Class in Left-Censored Data Due to Detection Limit
Hua He; Wan Tang, School of Public Health and Tropic Medicine, Tulane Univeristy
5:20 PM
|
|
Monday, 07/30/2018
|
What If We Get a Break in Series? Risk Management in the Integration of Multiple Data Sources
John L. Eltinge, United States Census Bureau
|
An Efficient Algorithm for Outlier Detection in Linear Mixed Model
Tzu-Ying Liu, University of Michigan; Hui Jiang, University of Michigan
|
The Application of Elastic Net with Fused Term in Change Point Detection via Coordinate Descent
Zhi Wang, University of Alabama
|
Multivariate Change Point Detection
Michael Messer, Institute of Mathematics, Goethe University, Frankfurt, Germany; Gaby Schneider, Institute of Mathematics, Goethe University, Frankfurt, Germany
|
Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Qiuyi Wu, ASA; Ernest Fokoue, ASA
|
Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
|
Simultaneous Bayesian Model Search and Change-Points Detection for Non-Stationary Oscillatory Processes
Beniamino Hadj-Amar, The University of Warwick; Barbel Finkenstadt, The University of Warwick
|
Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
|
Goodness of Fit Statistics Based on Quantile Periodogram for Time Series with Nonlinear Dynamic Volatility
Ta-Hsin Li, IBM T. J. Watson Research Center
8:35 AM
|
Segmenting Dynamic Network Data
Rex Cheung, San Francisco State University
8:50 AM
|
Detection of Local Discrepancies Between Two Spatio-Temporal Random Fields
Bo Li, University of Illinois at Urbana-Champaign; Xianyang Zhang, Texas A&M University; Sooin Yun, Univeristy of Illinois at Urbana-Champaign
9:00 AM
|
Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM
|
Rank Score Test for Regional Quantiles Treatment Effect Detection
Yuan Sun, University of Michigan; Xuming He, University of Michigan
9:20 AM
|
Use of National Syndromic Surveillance Data to Monitor Weekly Lyme Disease Activity in Four US Regions
Hong Zhou, CDC; Michael Coletta, CDC; Howard Burkom, Johns Hopkins Applied Physics Laboratory; Aaron Kite Powell, CDC; Ruth Jajosky, CDC; Tara Strine, CDC
9:35 AM
|
Robust Inference Based on Linear Mixed Models with Application to Gene Detections
Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Kim Hoke, Colorado State University; Wenxin Zhou, University of California, San Diego
9:50 AM
|
Left-Censored Data: the Orphan Child of Survival Analysis
Brenda Gillespie, Univ of Michigan
9:50 AM
|
Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
9:55 AM
|
Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
10:15 AM
|
Risk Analysis in Banking
Vijayan Nair, 215157
10:55 AM
|
Topic Models for Medical Prescription Fraud and Abuse Detection
Tahir Ekin, Texas State University; Babak Zafari, Babson College
11:05 AM
|
Signal Detection in Brain fMRI Using Global Bayes Factor for Rotation-Space Random Field
Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
11:20 AM
|
Detection of Genetic Trends Related to Ecoclines
Blair Sterba-Boatwright, Texas A&M University-Corpus Christi; Christopher Bird, Texas A&M University-Corpus Christi
11:20 AM
|
Multiple Change Point Detection for Symmetric Positive Definite Matrices
Dehan Kong, University of Toronto; Zhenhua Lin, University of Toronto; Qiang Sun, University of Toronto
2:05 PM
|
Adaptive Tests for Object Detection
Grigory Sokolov; Alexander G. Tartakovsky, Moscow Institute of Physics and Technology
2:05 PM
|
Multivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data
Gaurav Agarwal, King Abdullah University of Science and Technology (KAUST); Ying Sun, KAUST
2:35 PM
|
Multi-Stage Processes Monitoring and Diagnostics Using Timeslides
Emmanuel Yashchin, IBM Research
2:45 PM
|
Controlled Automatic Detection of Detects in Dependent Image Data
Ansgar Steland, Institut Fuer Statistik Und Wirtschaftsmathematik RWTH Aachen
3:05 PM
|
The Problems with the Kappa Statistic as a Metric of Inter-Observer Agreement on Lesion Detection Using a Third-Reader Approach When Locations Are Not Pre-Specified
Joanna H Shih, National Cancer Institute; Matthew D Greer, National Cancer Institute; Baris Turkbey, National Cancer Institute
3:05 PM
|
|
Tuesday, 07/31/2018
|
Strategies for Adjusting for Urinary Creatinine or Serum Lipids When Exposure Is Measured on Pooled Specimens
Min Shi, NIEHS; Clarice Weinberg, National Institute of Environmental Health Sciences; David Umbach, National Institute of Environmental Health Sciences; Katie O'Brien, National Institute of Environmental Health Sciences
|
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
|
An Application of Machine Learning for 3D IC Defect Detection
Meihui Guo, National Sun Yat-Sen University; Yu-Jung Huang, I-Shou University
|
Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Matthew Higham
|
Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data
Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University
|
Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
|
Model-Based Cluster Analysis and Outlier Detection
Cristina Tortora, San Jose State University; Antonio Punzo, University of Catania
8:35 AM
|
Going from the Program Safety Analysis Plan to the Aggregate Safety Analysis Plan
Barbara Hendrickson, AbbVie
8:55 AM
|
Sequential Change-Point Detection Based on Nearest Neighbors
Hao Chen, University of California, Davis
9:00 AM
|
BAYESMETAB: TREATMENT of MISSING VALUES in METABOLOMIC STUDIES USING a BAYESIAN MODELING APPROACH
Jasmit Shah, Aga Khan University Hospital; Guy Brock, Ohio State University College of Medicine; Jeremy Gaskins, University of Louisville
9:35 AM
|
Efficient Detection of Anomalies Within Streaming Data
Alexander Fisch, Lancaster University; Idris Eckley, Lancaster University; Paul Fearnhead, Lancaster University
9:50 AM
|
2018 National Bald Eagle Dual-Frame Survey Using an Eroding Nest List Frame
Mark Otto, Fish and Wildlife Service
10:05 AM
|
The Screening and Ranking Algorithm for Change-Points Detection in Multiple Samples
Heping Zhang, Yale University School of Public Health
10:35 AM
|
Nonparametric Change Point Detection of Periodic Data
Lingzhe Guo, The George Washington University; Reza Modarres, The George Washington University
10:35 AM
|
Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Matthew Higham
10:50 AM
|
Outlier Detection in Dynamic Functional Models
Andrada E Ivanescu, Montclair State University; William Checkley, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
10:55 AM
|
Detecting and Correcting Influential Values Using the Conditional Bias Approach : Application to the Canadian Survey of Household Spending
Christiane Laperrière, Statistics Canada; Aliou Seydi, Statistics Canada
11:20 AM
|
Why Is Monitoring Time Between Events Better Than Monitoring Event Counts for Outbreak Detection?
Ross Stewart Sparks, Data61, CSIRO
11:35 AM
|
Monitoring Vaccine Safety by Studying Temporal Trend of Adverse Events Using VAERS
Jing Huang, University of Pennsylvania; Yi Cai, Pieces Technology; Jingcheng Du, University of Texas Health Science Center; Ruosha Li, University of Texas School of Public Health; Susan S Ellenberg, University of Pennsylvania; Sean Hennessy, University of Pennsylvania; Cui Tao, University of Texas Health Science Center; Yong Chen, University of Pennsylvania
11:35 AM
|
An Application of Machine Learning for 3D IC Defect Detection
Meihui Guo, National Sun Yat-Sen University; Yu-Jung Huang, I-Shou University
11:40 AM
|
Hidden in the Signal
Eunice Kim, Microsoft; Ildoo Kim, Brown University
11:50 AM
|
Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:50 AM
|
Change-Detection-Assisted Multiple Testing for Spatiotemporal Data
Lilun Du, HKUST; Yunlong Wang, Nankai University; Changliang Zou, Nankai University; Zhaojun Wang, Nankai University
2:05 PM
|
New Method of Evaluation of Limit of Detection (LoD) in Molecular Diagnostics
Jeffrey Vaks, Roche Molecular Diagnostics
2:05 PM
|
Estimating Partial Correlations Between Logged HIV-RNA Measurements Subject to Detection Limits
Robert Lyles, Emory University
2:05 PM
|
Outlier Detection in Non-Stationary Data Streams
Priyanga Dilini Talagala, Monash University, Australia; Rob J Hyndman, Monash University; Kate Smith-Miles, University of Melbourne, Australia
3:05 PM
|
Post-Selection Inference for Changepoint Problems
Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University
3:35 PM
|
|
Wednesday, 08/01/2018
|
BinQuasi: a Peak Detection Method for ChIP-Sequencing Data with Biological Replicates
Emily Goren, Iowa Sate University; Peng Liu, Iowa State University; Chao Wang, Iowa State University; Chong Wang, Iowa State University
|
Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
|
Analyzing Bias in Object Detection Data Sets
Meera Haridasa, Purdue University; Cailey Farrell, Purdue University
|
An Automated Probabilistic Algorithm for the Detection of Central Vein Sign in Multiple Sclerosis
Jordan Dworkin, University of Pennsylvania; Pascal Sati, National Institute of Neurological Disorders and Stroke; Andrew Solomon, University of Vermont; Dzung Pham, Henry M. Jackson Foundation; Richard Watts, University of Vermont; Melissa Martin, University of Pennsylvania; Daniel Ontaneda, Cleveland Clinic; Matthew K Schindler, National Institute of Neurological Disorders and Stroke; Daniel S Reich, National Institute of Neurological Disorders and Stroke; Russell T Shinohara, University of Pennsylvania
|
Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
|
Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao
|
Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression
Shahadut Hossain, UAE University
8:35 AM
|
Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao
8:35 AM
|
Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM
|
Exact Spike Train Inference via $\Ell_0$ Optimization
Daniela Witten, University of Washington; Sean Jewell, University of Washington
8:55 AM
|
Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
Teng Fei, Emory University; Tengjiao Zhang, School of Life Sciences and Technology, Tongji University; Weiyang Shi, School of Life Sciences and Technology, Tongji University; Tianwei Yu, Emory University
9:20 AM
|
Making Change-Point Detection Data-Adaptive
Piotr Fryzlewicz, London School of Economics
9:35 AM
|
A Comparison of Multiple Imputation by Fully Conditional Specification and Joint Modeling for Generalized Linear Models with Covariates Subject to Detection Limits
Paul Bernhardt, Villanova University
9:35 AM
|
Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
|
Detection and Estimation of Local Signals
David O Siegmund, Stanford University
9:55 AM
|
FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Israel Almodovar-Rivera, University of Puerto Rico-Medical Science Campus; Ranjan Maitra, Iowa State University
10:50 AM
|
Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:05 AM
|
GLMM-Seq: Detection of Population-Based Gene Level Allele-Specific Expression by RNA-Seq
Jiaxin Fan, University of Pennsylvania; Jian Hu, University of Pennsylvania; Muredach Reilly, Columbia University; Rui Xiao, University of Pennsylvania; Mingyao Li, University of Pennsylvania
11:35 AM
|
Automatic Anomaly Detection in Modeling Real-Time Sensor Data
Bei Chen, IBM Research; Beat Buesser, IBM Research
11:35 AM
|
Predictive Modeling Applied in National Reporter Cleaning
Xuemei Pan; Mary Pritts, IBM; COBY LU, IBM
11:35 AM
|
An Evaluation of Statistical Approaches to Post Marketing Surveillance
Yuxin Ding, University at Buffalo; Marianthi Markatou, University at Buffalo; Robert Ball, U.S. Food and Drug Administration,Center for Drug Evaluation and Research
12:05 PM
|
Robust Outlier Detection for Low and High-Dimensional Neuroimaging Data with Principal Components Analysis and Split-Half Resampling
Derek Beaton, Baycrest Health Sciences; Kelly M Sunderland, Baycrest Health Sciences; Abiramy Uthirakumaran, Baycrest Health Sciences; Stephen R Arnott, Baycrest Health Sciences; Robert Bartha, Robarts Research; Sandra E Black, Sunnybrook Health Sciences Centre; Leanne Casaubon, Krembil Research Institute; Morris Freedman, Baycrest Health Sciences; Richard H Swartz, Sunnybrook Health Sciences Centre; Sean Symons, Sunnybrook Health Sciences Centre; ONDRI Investigators, ONDRI; Malcolm A Binns, Baycrest Health Sciences; Stephen C Strother, Baycrest Health Sciences
2:05 PM
|
Integrating Auxiliary Data in Optimal Spatial Design for Species Distribution Mapping
Jonathan Stallings, North Carolina State University; Brian Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
2:30 PM
|
Leading Policy with Localized Item Response Theory: Detection of Differential Item Functioning Across Space
Samantha Robinson, University of Arkansas
3:05 PM
|
Advanced Signal Processing Methods in Walking and Body-Posture Detection in Observational Studies
Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; Jacek K Urbanek, Johns Hopkins University; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Nancy Glynn, University of Pittsburgh Graduate School of Public Health; Tamara Harris, National Institute on Aging; Ciprian Crainiceanu, Johns Hopkins University; Jaroslaw Harezlak, Indiana University Bloomington
3:25 PM
|
|
Thursday, 08/02/2018
|
Measure Specific Mixture Model (MSM2) for Change Detection
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
8:35 AM
|
Global Spectral Clustering in Dynamic Networks
David Choi, Carnegie Mellon University; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:35 AM
|
Multivariate Methods and Data Integration in Social Media for Anomaly Detection
Karl Pazdernik, Pacific Northwest National Laboratory; Kellie MacPhee, University of Washington; Bryan Stanfill, Pacific Northwest National Laboratory; Lisa Bramer, Pacific Northwest National Laboratory
8:50 AM
|
Community Detection with Covariate Information
Yang Feng, Columbia University
8:55 AM
|
Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan
Guowen Huang, National Tsing Hua University
9:00 AM
|
Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM
|
Dynamic Community Detection for Multiple Networks
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
9:35 AM
|
Accelerometry-Based Methods for Smartphone Proximity Detection
Josh Barback, Harvard T. H. Chan School of Public Health; Nikita Raman, Dana-Farber Cancer Institute; Alexi Anne Wright, Dana-Farber Cancer Institute; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
10:05 AM
|
Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:35 AM
|
Spatial Cluster Detection of Regression Coefficients in a Mixed Effect Model
Junho Lee, King Abdullah University of Science and Technology; Ying Sun, KAUST; Howard Chang, Emory University
10:35 AM
|
Novelty/Primacy Effect Detection in Randomized Online Controlled Experiments
Somit Gupta, Microsoft; Jiannan Lu, Microsoft; Alex Deng, Microsoft Corporation
10:35 AM
|
A Framework of Change Detection for Dynamic Networks
Fuchen Liu, Carnegie Mellon University
10:50 AM
|
Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:35 AM
|
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
|
Detection of Signal Regions in Whole Genome Genotyping and Sequencing Association Studies Using Scan Statistics
ZILIN LI, Harvard T.H. School of Public Health; Xihong Lin, Harvard University
11:55 AM
|
|
|
