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Keyword Search Criteria: spline returned 41 record(s)
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Monday, 07/30/2018
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Spline Smoothing in Dendrochronology
Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
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Semiparametric Regression for Measurement Error Model with Heteroscedastic Error
Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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Monotonic Effects of Characteristics on Returns
Jared Fisher, University of Texas McCombs School of Business; Carlos Carvalho, University of Texas
8:55 AM
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Semiparametric Regression for Measurement Error Model with Heteroscedastic Error
Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
9:35 AM
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Theory Informs Practice: Smoothing Parameters Selection for Smoothing Spline ANOVA Models in Large Samples
Xiaoxiao Sun, University of Georgia; Wenxuan Zhong, University of Georgia; Ping Ma, University of Georgia
10:35 AM
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Sparse Single Index Models for Multivariate Responses
Yuan Feng, North Carolina State University; Luo Xiao, North Carolina State University; Eric Chi, North Carolina State University
10:35 AM
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Spline Smoothing in Dendrochronology
Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
11:00 AM
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Generalized Additive Models for Spatial Data Distributed on Complicated Domains
Shan Yu, Iowa State University; Lily Wang, Iowa State University
11:20 AM
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Ultra-High-Dimensional Single-Index Models for Longitudinal Data
Brittany Green, University of Cincinnati; Yan Yu, University of Cincinnati; Dr. LIAN Heng, City University of Hong Kong
11:35 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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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM
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Spatially Varying Coefficient Autoregressive Models
Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary; Lily Wang, Iowa State University
12:05 PM
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Predicting Disease Incidence with Natural Cubic Splines
Noah Kochanski, Hope College; Yew-Meng Koh, Hope College
2:05 PM
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Analysis of Decision Makers' Strategies
Mihoko Minami, Keio University
2:20 PM
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Sparse Functional Additive Models
Peijun Sang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
2:20 PM
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Tuesday, 07/31/2018
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Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines
William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
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M-Based Simultaneous Inference for Functional Data
Guanqun Cao, Auburn University; Nedret Billor, Auburn University; Italo Costa Lima, auburn university
8:50 AM
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Functional Censored Quantile Regression
Fei Jiang, The University of Hong Kong
8:55 AM
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On the Covariance Estimation and Principal Component Analysis for Spatially Dependent Functional Data
Haozhe Zhang, Iowa State University; Yehua Li, University of California, Riverside
9:05 AM
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Regression Splines and Multi-Group Propensity Score Weighting for the Study of Surgical Volume-Outcome Relationships
Jennifer Cooper, Nationwide Children's Hospital
9:55 AM
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Semiparametric Single-Index Models for Optimal Treatment Regimes with Censored Outcomes
Jin Wang, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Donglin Zeng, UNC Chapel Hill
10:35 AM
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Bayesian Spline Smoothing with Ambiguous Penalties
Xinlian Zhang, University of Georgia; Gauri Sankar Datta, University of Gerogia; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia
10:55 AM
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Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines
William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
11:30 AM
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Optimal Estimation in Functional ANOVA Models with Derivatives
Xiaowu Dai, University of Wisconsin Madison; Peter Chien, University of Wisconsin-Madison
11:35 AM
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Hidden in the Signal
Eunice Kim, Microsoft; Ildoo Kim, Brown University
11:50 AM
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Multivariate Calibration with Robust Signal Regression
Bin Li, Louisiana State University ; Brian D. Marx, Louisiana State University; David C Weindorf, Texas Tech University; Somsubhra Chakraborty, Indian Institute of Technology Kharagpur
2:20 PM
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Implicit Copulas from Bayesian Regularized Regression Smoothers
Nadja Klein, University of Melbourne; Michael Stanley Smith, University of Melbourne
2:45 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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Wednesday, 08/01/2018
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On Causal Inference in the Presence of Limited Overlap
Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan
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Predicting the Timing of the Final Event by Fitting B Splines to Poisson Intensity Rates
Marcus Sobel, Temple Universisity; Ibrahim Turkoz, Janssen Research and Development, LLC
8:35 AM
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Interactive Statistical and Visual Analysis of Longitudinal Metagenomic
Hector Corradoa Bravo, University of Maryland
9:15 AM
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Neural Network with Spline Smoothing and Its Applications to Genetics
Pei Geng, Illinois State University; Shan Zhang, Michigan State University; Qing Lu, Michigan State University
10:05 AM
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Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models
Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:05 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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Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM
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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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Functional Variance Change Point Analysis for Big Data with an Application to Liver Procurement
Pang Du, Virginia Tech; Zhenguo Gao, Virginia Tech; Ran Jin, Virginia Tech; John Robertson, Virginia Tech
2:25 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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