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Sunday, 08/04/2013
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On the Persistent Homology of Time-Delay Embeddings
Jose Andres Perea, Duke University; John Harer, Mathematics Department, Duke University
2:35 PM
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George Box's Contributions to Time Series Analysis and Forecasting
Greta M. Ljung, AIR Worldwide
2:55 PM
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Detecting Disease Outbreaks Using Local Spatiotemporal Methods
Yingqi Zhao, University of Wisconsin-Madison; Donglin Zeng, The University of North Carolina; Amy Herring, UNC CH; Amy Ising, UNC-Chapel Hill; Anna Waller, UNC-Chapel Hill; David Richardson, The University of North Carolina; Michael R. Kosorok, The University of North Carolina-Chapel Hill
3:05 PM
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The End Point of Time Series: Reporting Informatively on Trends
John Crequer, Statistics New Zealand; Sonya McGlone, Statistics New Zealand; Giles Reid, Statistics New Zealand; Richard Penny, Statistics New Zealand
3:05 PM
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Semiparametrically Modified OLS and IV Estimators for Linear Cointegrating Models
Yiguo Sun, University of Guelph
3:20 PM
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Skin Cancer and the Solar Cycle: An Application of Kolmogorov-Zurbenko Filters
Edward Valachovic, Department of Epidemiology and Biostatistics, State University of New York at Albany; Igor Zurbenko, State University of New York at Albany
3:20 PM
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High-Dimensional Forecasting for Web Data
Souvik Ghosh, LinkedIn Corp; Deepak Agarwal, LinkedIn
3:20 PM
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Comparing Maximum Likelihood Estimation with Generalized Prediction Problem Mean-Square Minimization Estimation on Time Series Data
Kevin Tolliver, U.S. Census Bureau; Tucker S. McElroy, U.S. Census Bureau
3:25 PM
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Detection of Multiple Structural Breaks in Multivariate Time Series
Philip Preuss, Ruhr-University Bochum
4:05 PM
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Inference for Locally Stationary Time Series Regression Models
Yeonwoo Rho, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
4:35 PM
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Structured Sparse Methodology for Early Tsunami Warning Systems
Daniel Percival, Google Inc.; Donald Percival, University of Washington
4:35 PM
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High-Dimensional Vector Autoregression (VAR)
Sumanta Basu, University of Michigan
5:05 PM
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Monday, 08/05/2013
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Improved Portmanteau Diagnostic Check for ARFIMA Time Series Models
Jinkun Xiao, University of Western Ontario; Ian McLeod, University of Western Ontario
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Fitting an AR(1) Model to Environmental Measurements with Non-Detects
John Rogers
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General and Consistent Signal Extraction for Nonstationary Time Series with Diverse Sampling Rules
Thomas Trimbur, Federal Reserve Board; Tucker S. McElroy, U.S. Census Bureau
8:55 AM
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Seasonal Adjustment of CPS Labor Force Series During the Great Recession
Thomas Evans, Bureau of Labor Statistics; Richard Tiller, Bureau of Labor Statistics
9:15 AM
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Fourier Analysis of Stationary Time Series in Function Space
Shahin Tavakoli, EPFL; Victor Panaretos, EPFL
9:35 AM
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An Appraisal of Multivariate Seasonal Adjustment
Tucker S. McElroy, U.S. Census Bureau
9:55 AM
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New Method on Nonlinearity Test in Time Series
Hang Kim, Temple
10:35 AM
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Variable Length Markov Chains for Sequential Prediction in Dependence Time Series
Abraham J Wyner, The Wharton School, University of Pennsylvania; Joshua Magarick, University of Pennsylvania
10:35 AM
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Hierarchical Geostatistical Analysis in Clustering fMRI Time Series
Jun Ye, University of Akron
10:55 AM
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Regularization on Multivariate Functional-Coefficient Regression Models
Jiancheng Jiang, The University of North Carolina at Charlotte
11:00 AM
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Dynamic Visualization of Economic Indicators
Katherine Jenny Thompson, U.S. Census Bureau; Mark Wallace, U.S. Census Bureau
2:05 PM
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Spectral Density Shrinkage for High-Dimensional Time Series
Mark Fiecas, University of California, San Diego; Rainer von Sachs, Universite Catholique de Louvain
2:25 PM
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Tuesday, 08/06/2013
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ARIMA and General Regression Neural Network for Forecasting Rice Production in Sri Lanka
Manjari Dissanayake; Ferry Butar Butar, SHSU
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Bootstrapping Time Series Data
Maher Qumsiyeh, University of Dayton; Robert Deis, University of Dayton
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Rank-Based Estimation for Infinite Variance Autoregressive Processes with Regularly Varying Tail Probabilities
Jiening Chen, Northwestern University; Beth Andrews, Northwestern University
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Time-Series Analysis of Air Pollution and Health Accounting for Spatial Exposure Uncertainty
Howard Chang, Emory University; Yang Liu, Emory University; Stefanie Sarnat, Emory University
8:55 AM
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Volatility in International Migration Flows of Nordic Countries: Estimating Past Trends and Lessons for Forecasting with Uncertainty
Guy Abel, Wittgenstein Centre (IIASA, VID/OAW, WU), Vienna Institute of Demography
8:55 AM
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Piecewise Quantile Autoregressive Modeling for Nonstationary Time Series
Alexander Aue, UC Davis; Thomas C.M. Lee, UC Davis; Ming Zhong, UC Davis
9:00 AM
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Practical Test for Goodness-of-Fit of Low-Order AR Models Applied to Pinot Noir Grape Harvest Dates
Karim Rahim, Queen's University; David Thomson, Queen's University
9:05 AM
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Bayesian Time Series Models of Ultrafine Particle Concentrations
Heidi Fischer, UCLA; Robert E Weiss, University of California, Los Angeles
9:20 AM
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Modeling Nonstationarities in Energy Time Series
Idris Eckley, Lancaster University
9:25 AM
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Kernel Estimation of a Quantile Partially Additive Linear Regression Model
Dawit Zerom, California State University at Fullerton
9:35 AM
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Spacing and Shape of Peaks in Nonparametric Spectrum Estimates
Charlotte Haley; David Thomson, Queen's University
9:35 AM
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Time Series Forecasting with R
Deepak Sanjel
9:50 AM
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A Bayesian Hierarchical Chronology Model for Time Series Analysis of Paleoenvironmental Data
Aaron Springford, Queen's University
9:50 AM
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Changepoint Detection in Climate Time Series with Long-Term Trends
Michael Robbins, University of Missouri, Columbia
10:05 AM
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A Review of Tests for Randomness in Time Series Data
Boris Iglewicz, Temple University; Alicia Graziosi Strandberg, Temple University
10:35 AM
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Prior Specification in Multivariate Regime-Switching Lognormal Models
Brian Hartman, University of Connecticut; David Engler, Department of Statistics, Brigham Young University
11:20 AM
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Locally Adaptive Bayesian Covariance Regression
Daniele Durante, Department of Statistical Sciences, University of Padua; Bruno Scarpa, Department of Statistical Sciences, University of Padua ; David B. Dunson, Duke University
11:35 AM
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Bootstrap Prediction Intervals for Conditional Heteroskedastic Models with Cyclically Varying Unconditional Variance
Malaka Thilakaratne, Missouri University of Science & Technology; V A Samaranayake, Missouri University of Science and Technology
11:50 AM
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Fitting Heavy-Tailed Nonlinear (Pareto) Autoregressive Time-Series Models
Marcel Carcea; Robert Serfling, The University of Texas at Dallas
12:05 PM
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Bayesian Large-Scale Multiple Testing for Time Series Data
Xia Wang, University of Cincinnati; Ali Shojaie, University of Washington; Jian Zou, Indiana University-Purdue University Indianapolis
2:05 PM
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On Estimation for Partial Linear Models
Sucharita Ghosh, Swiss Federal Research Institute WSL
2:05 PM
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Light Curve Analysis for Classification with Astronomical Data
Ashish Mahabal, Caltech; Julian Faraway, Department of Mathematical Sciences, University of Bath; Jiayang Sun, Case Western Reserve University; Xiaofeng Wang, Cleveland Clinic Lerner Research Institute; Yi Wang, SAMSI/Duke University; Lingsong Zhang, Purdue University
2:25 PM
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Shape-Restricted Inference for Dependent Data
Pramita Bagchi, University of Michigan; Stilian A Stoev, University of Michigan; Moulinath Banerjee, University of Michigan
2:50 PM
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Forecastting Macroeconomic Trends
Gabriel Perez Quiros, Bank Of Spain; Javier Perez Garcia, Bank of Spain; Joan Paredes, European Central Bank
3:05 PM
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SHRP 2's Naturalistic Driving Study: A Database of Unlimited Challenges
Karin Bauer, MRIGlobal
3:05 PM
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Functional Spectral Analysis
Robert Krafty, University of Pittsburgh; Wensheng Guo, University of Pennsylvania; Martica Hall, University of Pittsburgh
3:25 PM
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SPC Data Visualization of Seasonal Data
Annie Dudley Zangi, SAS Institute; Diane K. Michelson, SAS
3:35 PM
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Wednesday, 08/07/2013
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Nonparametric Intervention Time Series Modeling
Jin-Hong Park, College of Charleston
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Time Series Data with Semi-Reflective Boundaries: Single-Pass and Iterative Methods
Jeffrey D. Dawson, The University of Iowa; Amy M. Johnson, Univ of Iowa
9:05 AM
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Matrix Time Series
Lynne Billard, University of Georgia; Yaser Samadi, University of Georgia
9:35 AM
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Likelihood Inference in Small-Area Estimation Using P-Spline and Time Series Models
Farhad Shokoohi, University of Manitoba; Mahmoud Torabi, University of Manitoba
9:35 AM
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Classification via Auxiliary Information: Formalism and Application to Classification of Astronomical Time Series
Beatriz Etchegaray; Chad Schafer, Carnegie Mellon Univeristy; Peter Freeman, Carnegie Mellon University
9:35 AM
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Consistency of Long Autoregressive Model Parameter Estimates
Sreenivas Konda, University of Waterloo
9:50 AM
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Causal Inference for fMRI Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat
Michael Sobel, Columbia University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
9:50 AM
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Temporal Aggregation Effects on a Mean-Change in Time Series
Bu Hyoung Lee, Temple University; William W. S. Wei, Temple University
10:05 AM
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Advanced Tools for Time Series Analysis and Seasonal Adjustment in the New JDemetra+
Sylwia Grudkowska, National Bank of Poland; Dario Buono, European Commission; Jean Palate, National Bank of Belgium; Wojciech Ciebiera, National Bank of Poland
10:35 AM
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Signs of the Sine Illusion: Why We Need to Care
Susan VanderPlas, Iowa State University; Heike Hofmann, Iowa State University
10:50 AM
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Model-Based Clustering of Gaussian Regression Time Series
Semhar Michael, The University of Alabama; Volodymyr Melnykov, The University of Alabama
10:50 AM
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Modeling Recessing Effects and the Consequences on Seasonal Adjustment
Demetra Lytras, US Census Bureau; William R. Bell, U.S. Census Bureau
10:55 AM
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Instant Trend-Seasonal Decomposition of Time Series with Splines
Luis Francisco Rosales Marticorena, Goettingen University
11:15 AM
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Wavelet-Based Estimation for Stationary Gaussian Time Series
Wenjun Zheng, The Ohio State University
11:35 AM
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Characterizing Common Seasonality in Multivariate Time Series
Fabio Nieto, Universidad Nacional De Colombia; Daniel Peña, Universidad Carlos III de Madrid; Dagoberto Saboyá, Universidad Nacional de Colombia
2:20 PM
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Statistical Learning with Time Series Dependence: An Application to Scoring Sleep in Mice
Blakeley B. McShane, Northwestern University; Shane T. Jensen, The Wharton School, University of Pennsylvania; Allan I. Pack, University of Pennsylvania; Abraham J Wyner, The Wharton School, University of Pennsylvania
2:30 PM
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On Smooth Tests of Goodness-of-Fit for Vector ARMA Time Series Models
Joseph Francois Tagne Tatsinkou, Universite de Montreal; Pierre Duchesne, Universite de Montreal; Pierre Lafaye de Micheaux, Universite de Montreal
2:35 PM
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A Nonparametric Test to Compare the Autocorrelation Structure of Two Time Series
Lei Jin, McNeese State Univ; Suojin Wang, Texas A&M University
2:35 PM
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Classification of 'Short' Time Series via the Epsilon-Complexity of Continuous Functions
Alexandra Piryatinska, San Francisco State University; Boris Darkhovsky, Institute for Systems Analysis, Russian Academy of Sciences
3:20 PM
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An Advanced Approach for Forecasting Export-Import Time Series Models
Silvey Shamsi, Jahangirnagar University; Mian Adnan, Jahangirnagar University; M Shamsuddin, Dhaka
3:35 PM
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Thursday, 08/08/2013
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Heteroscedasticity and Autocorrelation Robust Structural Change Detection
Zhou Zhou, University of Toronto
8:55 AM
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Models for Hantavirus Incidence in Chile
Elaine O. Nsoesie, Children's Hospital Informatics Program, Children's Hospital Boston, Massachusetts, USA; Sumiko R. Mekaru, Children's Hospital Informatics Program, Children's Hospital Boston, Massachusetts, USA; John S. Brownstein, Children's Hospital Informatics Program, Children's Hospital Boston, Massachusetts, USA
9:20 AM
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Breakpoint Detection of Nonstationary Time Series Using Wild Binary Segmentation
Karolos Korkas; Piotr Fryzlewicz, London School of Economics
9:35 AM
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Statistical Procedures for Reconciling Time Series of Large Systems of Accounts Subject to Low-Frequency Benchmarks
Baoline Chen, Bureau of Economic Analysis; Tommaso Di Fonzo, The National Institute for Statistics (Istat); Marco Marini, International Monetary Fund
10:55 AM
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State-Space Time-Series Clustering and Inference Using Discrepancies Based on the Kullback-Leibler Information and the Mahalanobis Distance
Eric Foster, The University of Iowa; Joseph Cavanaugh, University of Iowa
11:35 AM
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