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Keyword Search Criteria: Inference returned 112 record(s)
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Sunday, 07/30/2017
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Generalized Fiducial Inference for Nonparametric Function Estimation
Randy C.S. Lai, University of Maine
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R Package TDA for Statistical Inference on Topological Data Analysis
Jisu Kim, Carnegie Mellon University
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Subgroup Inference for Multiple Treatments and Multiple Endpoints
Brad Carlin, University of Minnesota; Patrick Schnell, University of Minnesota; Peter Mueller, UT Austin; Qi Tang, AbbVie, Inc.
2:05 PM
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Nonparametric Inference for Point Processes
Tailen Hsing, University of Michigan; Jinqi Shen, University of Michigan
2:05 PM
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BFF Inferences with Rs: Replications, Relevance and Robustness
Xiao-Li Meng, Harvard University; Keli Liu, Stanford University
2:05 PM
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Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
2:05 PM
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Bayesian Inference of Accelerated Life Tests for Lognormal Life Distribution and Inverse Power Relationship
Ananda Jayawardhana, Pittsburg State University
2:20 PM
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Inference for Errors-In-Variables Models in the Presence of Spatial and Temporal Dependence with an Application to a Carbon Dioxide Remote Sensing Campaign
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong; Debra Wunch, University of Toronto
2:25 PM
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Testing Curvature in Functional Single Index Models: Inference for Reaction Norms in Ecology
Giles J Hooker, Cornell University; Zi Ye, Cornell University
2:30 PM
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Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM
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Network Inference Using Multi-Hub Models
Jirui Wang, George Mason Univ; Yunpeng Zhao, George Mason University
2:50 PM
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Semiparametric Inference for the Means of Heavy-Tailed Distributions
Hedibert Lopes, Insper; Matt Taddy, University of Chicago Booth School of Business; Matt Gardner, eBay
3:05 PM
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Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation
Mingwei Tang, Department of Statistics, University of Washington; Vladimir Minin, University of Washington
3:05 PM
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Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Inference Following Aggregate Level Hypothesis Testing in Large Scale Genomic Data
Ruth Heller, Tel-Aviv University; Nilanjan Chatterjee, Johns Hopkins University; Abba Krieger, University of Pennsylvania; Jianxin Shi, National Cancer Institute
4:30 PM
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A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels
Georgia Papadogeorgou; Francesca Dominici, Harvard University
4:50 PM
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Inference on Risk Premia Without a Fully Specified Factor Model
Dacheng Xiu, University of Chicago; Stefano Giglio, University of Chicago
4:55 PM
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Selective Inference in Genomics
Chiara Sabatti, Stanford University
4:55 PM
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Likelihood-Based Inference for Partially Observed Spatiotemporal Dynamics: Measles as a Case Study
Edward Ionides, University of Michigan; Joonha Park, University of Michigan
4:55 PM
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Statistical Inference Problems in Growing Random Graphs
Miklos Z Racz, Microsoft Research
5:20 PM
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Wild Residual Bootstrap Inference for Penalized Quantile Regression with Heteroscedastic Errors
Lan Wang, University of Minnesota; Ingrid Van Keilegom, ORSTAT, KU LEUVEN; Adam Maidman, University of Minnesota
5:20 PM
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Inference in Gaussian DAGs with Known Partial Ordering
Syed Rahman, University of Florida
5:20 PM
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Monday, 07/31/2017
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Spline Density Estimation and Inference with Model-Based Penalties
Jian Shi, University of California, Santa Barbara
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Causal Inference Using Bayesian Spatial Downscaling
Alexandra Larsen, North Carolina State University ; Brian Reich, NCSU; Ana Rappold, US EPA
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
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Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
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Trip Purpose Inference with Movement Trajectories, Land Use Data, and Social Media Data
Qing He, University at Buffalo, SUNY; Jing Gao, University at Buffalo, SUNY; Yu Cui, University at Buffalo, SUNY; Chuishi Meng, University at Buffalo, SUNY
8:35 AM
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Randomization inference with general interference and censoring
Wen Wei Loh, UNC; Michael Hudgens, UNC
8:35 AM
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Inference for Large Networks
Peter Bickel, UC Berkeley; purna sarkar, u. of texas; Soumendu Mukherjee, UC Berkeley
8:35 AM
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Inference for Big Data
Larry Wasserman, Carnegie Mellon
9:00 AM
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A Sequential Algorithm for Bayesian Inference of Large-Scale Record Linkage Structure
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, Carnegie Mellon University
9:05 AM
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Inference of on Time Specific Difference and Ratio of Kaplan-Meier Estimates
Jeong-Gun Park, Brigham & Womens Hospital / Harvard Medical School; Kelly Im, Brigham and Women's Hospital; Francesco Nordio, Brigham and Women's Hospital; Sabina Murphy, Brigham and Women's Hospital; Yared Gurmu, Brigham & Women's Hospital
9:50 AM
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Model-Robust Inference for Continuous Threshold Regression Models
Chongzhi Di, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
10:35 AM
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM
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West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models
Marc A. Suchard, University of California, Los Angeles
11:00 AM
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Bayesian Inference in Stochastic Reaction Networks
Daniel Linder, Medical College of Georgia - Augusta, GA; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:15 AM
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Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:35 AM
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Network Inference from Time Varying Grouped Observations
Yunpeng Zhao, George Mason University
11:50 AM
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Adjustments to Student Weights to Account for Student Nonresponse in the National Assessment of Educational Progress
John Riddles, Westat; Gonzalo Rivero, Westat; John Burke, Westat; Keith Rust, Westat
2:05 PM
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Statistical Inference for Model Parameters in Stochastic Gradient Descent
Yichen Zhang, New York University; Xi Chen, NYU; Jason D. Lee, University of Southern California; Tong Thomson Xin, National University of Singapore
2:25 PM
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Tuesday, 08/01/2017
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Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions
Taha Monfared, csuf office of graduate studies; Valerie Poynor, California State University, Fullerton
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Slingshot: Cell Lineage and Pseudotime Inference for Single-Cell Transcriptomics
Kelly Street, Univ of California - Berkeley; David Risso, Department of Healthcare Policy and Research, Weill Cornell Medicine; Russell B. Fletcher, Department of Molecular and Cell Biology, UC Berkeley; Diya Das, Department of Molecular and Cell Biology, UC Berkeley; John Ngai, Department of Molecular and Cell Biology & Helen Wills Nenuroscience Institute, UC Berkeley; Nir Yosef, Department of Electrical Engineering and Computer Sciences, UC Berkeley; Elizabeth Purdom, Department of Statistics, UC Berkeley; Center for Computational Biology, UC Berkeley; Sandrine Dudoit, Division of Biostatistics, School of Public Health, UC Berkeley; Department of Statistics
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Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, University of Georgia; Noah Giansiracusa, Swarthmore College; Nicole Lazar, University of Georgia
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Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
Yinge Sun, University of Virginia; Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
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Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
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Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments
Michal Kolesar, Princeton University; Kirill Evdokimov, Princeton University
8:35 AM
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Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, University of Georgia; Noah Giansiracusa, Swarthmore College; Nicole Lazar, University of Georgia
8:40 AM
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When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM
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Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 AM
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Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center
9:20 AM
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Semiparametric Bayes Inference of Gap-Time Distribution with Recurrent Event Data
AKM Fazlur Rahman, University of Alabama at Birmingham; Edsel Aldea Pena, University of South Carolina
9:20 AM
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Learning heterogeneity in causal inference using sufficient dimension reduction
Wenbo Wu, University of Oregon; Wei Luo, Baruch College; Yeying Zhu, University of Waterloo
9:25 AM
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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"Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data
Reagan M Rose, Harvard University; Luke Miratrix, Harvard University; Aaron Kaufman, Harvard University; Jason Anastasopoulos, University of Georgia
9:50 AM
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Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM
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Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
Yinge Sun, University of Virginia; Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:15 AM
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
11:15 AM
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Robust Inference for Group Sequential Trials
Jitendra Ganju; Yunzhi Lin, AbbVie; Kefei Zhou, Theravance
11:20 AM
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Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization
Miranda Lynch, Los Alamos National Laboratory
12:05 PM
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Confidence Inference Function in Big Data
Peter XK Song, University of Michigan, ; Ling X.K. Zhou, University of Michigan
2:05 PM
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Statistical Tools for Missing Data Inference in Home Mortgage Applications
Andrew Porter, Office of the Comptroller of the Currency
2:20 PM
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Application of Generalized Fiducial Inference to Biological Sciences
Jan Hannig, University of North Carolina at Chapel Hill
2:30 PM
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Nonparametric Inference via Bootstrapping the Debiased Estimator
Yen-Chi Chen, University of Washington
2:35 PM
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Bivariate Association in Respondent-Driven Sampling Data
Dongah Kim, University of Massachusetts, Amherst; Krista Gile, University of Massachusetts; Honoria Guarino , National Development and Research Institutes, Inc.; Pedro Mateu Gelabert, National Development and Research Institutes, Inc.
2:35 PM
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Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 PM
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Inference from Respondent-Driven Sampling Data: Progress and Challenges
Krista Gile, University of Massachusetts; Miles Ott, Smith College; Isabelle Beaudry, PUC Santiago, Chile
3:20 PM
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Two Sample Order Free Trend Inference
Yishi Wang, University of North Carolina Wilmington; Cuixian Chen, University of North Carolina, Wilmington
3:35 PM
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What's Happening in Selective Inference I?
Emmanuel J. Candes, Stanford University
4:05 PM
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Wednesday, 08/02/2017
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Statistical Inference in the Era of Precision Medicine- the Essential Role of Statistics for Unmet Needs in Algorithm Refinement, Diagnostics Application and Drug Development
Ruixiao Lu, Genomic Health
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A New Approach on Simultaneous Statistical Inference in the Presence of Heteroscedasticity
Meng Li, The Ohio State University; Steven MacEachern, The Ohio State University
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Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error
David Vock, University of Minnesota; Jeffrey Boatman; Joseph Koopmeiners, University of Minnesota
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Randomization Inference for Peer Effects
Xinran Li, Harvard University; Peng Ding, University of California, Berkeley; Qian Lin, Harvard University; Dawei Yang, Peking University; Jun Liu, Harvard University
8:35 AM
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Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions
Kalimuthu Krishnamoorthy, Univ of Louisiana
8:50 AM
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Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error
David Vock, University of Minnesota; Jeffrey Boatman; Joseph Koopmeiners, University of Minnesota
8:55 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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Approximate Bayesian Inference via Iterated Random Functions
Aritra Guha, University of Michigan; Long Nguyen, University of Michigan
9:05 AM
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Assessing the Informational Content of Seasonality Tests by Random Forests of Conditional Inference Trees
Daniel Ollech, Deutsche Bundesbank; Karsten Webel, Deutsche Bundesbank
9:35 AM
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Inference for COM-Poisson Cure Rate Model with Interval Censored Data
Suvra Pal, University of Texas Arlington - Arlington, TX; Narayanaswamy Balakrishnan, McMaster University
9:50 AM
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Comparing Methods of Inference on the Basis of Imprecise Posterior Distributions
Reyhaneh Hosseini, University of Ottawa; David R. Bickel, University of Ottawa
9:50 AM
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Empirical Likelihood Inference for Complex Surveys and the Design-Based Oracle Variable Selection Theory
Changbao Wu, University of Waterloo; Puying Zhao, University of Waterloo; David Haziza, University of Montreal
10:35 AM
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What's Happening in Selective Inference II?
Emmanuel J. Candes, Stanford University
10:35 AM
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Statistical Inference of the Relative Concentration Index Using Grouped Data from Complex Surveys
Mandi Yu, National Cancer Institute; Meng Qiu, University of Maryland; Yan Li, University of Maryland
11:15 AM
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Post-Selection Inference for Segmentation Methods in Changepoint Detection
Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University, Statistics Department; Max G'sell, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University
11:20 AM
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Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM
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Bayesian Approaches for Inference on Brain Connectivity Networks
Marina Vannucci, Rice University
2:05 PM
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Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM
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Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM
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"Efron's Rules" for Inference after Imputation and Model Selection
Karen Messer, UCSD Biostatistics; Lin Liu, UCSD Biostatistics; Loki Natarajan, UCSD Biostatistics
2:45 PM
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Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
Yuhang Xu, University of Nebraska-Lincoln; Yehua Li, Iowa State University; Dan Nettleton, Iowa State University
2:50 PM
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Nonparametric Inference on a Monotone Covariate-Adjusted Dose-Response Curve
Ted Westling, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Mark J van der Laan, University of California at Berkeley Division of Biostatistics
3:05 PM
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The Impact of Multiple Imputation of Missing Data on the Statistical Inference in Health Disparities Research
Yihe Huang, George Washington University; Yan Ma, The George Washington University
3:20 PM
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Predictive Inference for Regression
Maxwell Grazier G'Sell, Carnegie Mellon University
3:25 PM
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Thursday, 08/03/2017
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What's Happening in Selective Inference III?
Emmanuel J. Candes, Stanford University
8:35 AM
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Parameter Inference for a Three-Parameter Generalized Birnbaum- Saunders Distribution
Naijun Sha, University of Texas At El Paso
8:35 AM
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A Robust Pseudolikelihood-Based Inference of Personalized Utility Functions Through Multiple Outcomes Network Meta-Analysis
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
8:55 AM
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Statistical Inference in Large Ising Graphical Models via Quadratic Programming
Zhao Ren, University of Pittsburg; Cun-Hui Zhang, Rutgers University; Harrison H. Zhou, Yale University; Sai Li, Rutgers University
8:55 AM
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A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
Ana Rappold, US EPA; Brian Reich, NCSU; Alexandra Larsen, North Carolina State University
9:25 AM
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Statistical Inference Based on Expanded Simple Random Sample Using Population Ranks
Omer Ozturk, Ohio State University
9:35 AM
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Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM
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Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
Lu Zhang, UCLA; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, UCLA Fielding School of Public Health
10:05 AM
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Estimation and Inference of Bounded Normal Mean
Yong Seok Park; Jeremy M. G. Taylor, University of Michigan
10:35 AM
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Pilot of a Simulation-Based Inference (SBI) Approach in an Online Undergraduate-Level Introductory Statistics Course
Whitney Alicia Zimmerman, The Pennsylvania State University; Mengzhao Gao, The Pennsylvania State University; Glenn Johnson, The Pennsylvania State University; Daniel Adam Spencer, University of California, Santa Cruz; Daisy Philtron, The Pennsylvania State University
10:55 AM
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Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data
Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Yinge Sun, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:00 AM
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Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression
Qixuan Chen, Columbia University; Yutao Liu, Columbia University
11:05 AM
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Inference and Analysis on Social Networks from Newswire Content
William Campbell, MIT Lincoln Laboratory; Lin Li, MIT Lincoln Laboratory; Joel Acevedo-Aviles, MIT Lincoln Laboratory
11:05 AM
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A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS
Jose Guardiola, Texas A&M University-CC; Hassan Elsalloukh, University of Arkansas at Little Rock
11:15 AM
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Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys
Yajuan Si, University of Wisconsin-Madison
11:35 AM
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Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM
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INFERENCE for a NONPARAMETRIC MODEL WITHOUT NONPARAMETRIC ESTIMATION
Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
11:50 AM
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Pedagogical Considerations for Simulation-Based Inference in a Large-Enrollment Introductory Biostatistics Course
Matthew Beckman, Penn State University; Kari Lock Morgan, Penn State University
11:55 AM
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