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Keyword Search Criteria: kernel returned 52 record(s)
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Sunday, 07/29/2018
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Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University
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Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
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Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space
Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
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Time-Dependent Covariates in Recurrent Event Models
Xianghua Luo, University of Minnesota, School of Public Health; Tianmeng Lyu, University of Minnesota; Yifei Sun, Columbia University; Chiung-Yu Huang, University of California at San Francisco
2:05 PM
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Rank-Tracking Probabilities of Bivariate Dependent Variables in Longitudinal Studies
Seonjin Kim, Miami University; Hyunkeun Cho, University of Iowa; Colin O. Wu, National Heart, Lung and Blood Institute, NIH
2:05 PM
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Rare Variant Prioritization Using Structure-Supervised Locus-Specific Tests
Jung-Ying Tzeng, North Carolina State University; Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University
2:45 PM
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Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM
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Monday, 07/30/2018
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Scdensity: An R Package for Shape-Constrained Kernel Density Estimation
Mark Wolters, Shanghai Center for Mathematical Sciences
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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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Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
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Gradient-Based Approach to Sufficient Dimension Reduction for Functional and Longitudinal Data
Ming-Yueh Huang, Academia Sinica; Kwun Chuen Gary Chan, University of Washington
10:50 AM
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Smoothing Spline ANOVA Models for Nonparametric Covariance Estimation for Longitudinal Data
Tayler Blake, Information Control Company; Yoonkyung Lee, Ohio State University
11:50 AM
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Homogeneity Test Under Finite Mixture with Multi-Dimensional Parameter Kernel
Ho Yin Ho, University of British Columbia; Jiahua Chen, University of British Columbia
3:05 PM
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A Two-Part Semiparametric Model for Metabolomics and Proteomics Data
Li Chen, University of Kentucky; Yuntong Li, University of Kentucky; Teresa Fan, University of Kentucky; Andrew Lane, University of Kentucky; Woo-Young Kang, University of Kentucky; Susanne Arnold, University of Kentucky; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky
3:20 PM
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Tuesday, 07/31/2018
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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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Nonparametric Multivariate Density Estimation Under Dependence
Jan Beran, University of Konstanz
8:35 AM
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Finding Hotspots
Sucharita Ghosh, Swiss Federal Research Institute WSL
8:55 AM
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Identifying Individual Risk Rare Variants Using Structure-Guided Local Tests
Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University; Daniel Rotroff, North Carolina State University; Michael Wagner, UNC Chapel Hill; John Buse, UNC Chapel Hill; Jung-Ying Tzeng, North Carolina State University; Melaine Kuenemann, North Carolina State University; Denis Fourches, North Carolina State University; Alison Motsinger-Reif, North Carolina State University
9:05 AM
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Nonlinear Support Vector Machine for Multivariate Functional Data with Applications to fMRI and EEG Data Analysis
Zheye Yuan, Penn State Univ; Bing Li, The Pennsylvania State University
9:35 AM
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Adaptive Function-On-Scalar Smoothing Elastic Net
Ardalan Mirshani, The Pennsylvania State University; Matthew Reimherr, Pennsylvania State University
9:50 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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Spectral Methods for Kernel Learning
Charlotte Haley, Argonne National Lab; Christopher J Geoga, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory
11:20 AM
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Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data
Xiaoke Zhang, George Washington University; Raymond Wong, Texas A&M University
11:20 AM
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Equivalent Kernels of Local Polynomial Fitting in Varying Coefficient Models
Chunyen Wu, Institute of Statistics, National Tsing Hua University, TAIWAN; Li-Shan Huang, Institute of Statistics, National Tsing Hua University, TAIWAN
11:35 AM
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Nonparametric Estimation of Risk Tracking Indices for Longitudinal Studies
Xin Tian, National Heart, Lung and Blood Institute; Colin O. Wu, National Heart, Lung and Blood Institute, NIH
11:50 AM
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A Semiparametric Approach for Modeling Multivariate Nonlinear Time Series
Seyed Yaser Samadi, Southern Illinois University, Carbondale
11:50 AM
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Pseudo-Kernel Method in Accessing Cross-Validated Risk
Qing Wang, Wellesley College
2:05 PM
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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
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Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
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Bayesian Generalized Smoothing Spline ANOVA with Dimension Reduction
Chin-I Cheng, Central Michigan University; Paul Speckman, University of Missouri-Columbia
2:50 PM
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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
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Wednesday, 08/01/2018
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Robust Kernel Association Test (RobKAT)
Kara Martinez, North Carolina State University
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A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
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Improved Variance Component Score Tests of Gene-Environment Interactions
NANXUN MA, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center; Jing Ma, Fred Hutch Cancer Research Center
8:35 AM
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Reproducing Kernels for Pairwise Learning
Xin Guo, The Hong Kong Polytechnic University; Ting Hu, Wuhan University; Qiang Wu, Middle Tennessee State University; Ding-Xuan Zhou, City University of Hong Kong
8:35 AM
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A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
8:35 AM
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Folded Concave Penalized Estimation of Conditional Copula Graphical Models with Application to Microbial Networks
Bingyuan Liu, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:05 AM
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A New Kernel-Based Method for Multiple-Loci Meta-Analysis
Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University; Xiaoxi Shen
9:35 AM
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Future Events Prediction with a Forward Intensity Function Approach
Lili Zhu, Bristol-Myers Squibb; Temple University; Cheng Yong Tang, Temple University
10:05 AM
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One-Step and Two-Step Estimation in a Time-Varying Parametric Model
Bogdan Gadidov, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University; Brad Barney, Brigham Young University
11:35 AM
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Time-Variant Nonparametric Quantile Estimation: One-Step Vs Two-Step Methods
Mohammed Chowdhury, Kennesaw State University
2:05 PM
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Forecasting Consumer Interests from Search Query Data Using Large-Scale, Semiparametric Probabilistic Prediction Algorithms
Georg Goerg
2:05 PM
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Asymptotics and Optimal Bandwidth Selection for Nonparametric Estimation of Density Level Sets
Wanli Qiao, George Mason University
2:05 PM
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A Kernel Weighting Approach to Improve Population Representativeness of Epidemiological Cohort in the Analysis
Lingxiao Wang, The Joint Program in Survey Methodology, University of Maryland, College Park; Barry Ira Graubard, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Yan Li, University of Maryland at College Park
2:30 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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Nonparametric Quantile Curves of Health Risk Factors for American Adolescents
Jessica Rudd, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University
3:05 PM
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Nonparametric Empirical Bayes Tweedie's Estimator for Normal Means with Heteroscedastic Errors
Luella Fu, USC Marshall School of Business; Gareth James, USC Marshall School of Business; Wenguang Sun, USC Marshall School of Business
3:05 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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