Irène Gijbels
Department of Mathematics and Leuven Statistics Research Centre, KU Leuven, Belgium
Title: “Nonparametric density and regression estimation in case of measurement errors: a review” Read more about Dept. Seminar - Irène Gijbels
May 7, 2018: 7:30-5:50
May 8, 2018: 7:30-5:00
https://predictiveinference.github.io/ Read more about Conference on Predictive Inference and Its Applications
Gustavo Didier
Tulane University
On multidimensional scaling
Gustavo Didier, Tulane University Read more about Dept. Seminar - Gustavo Didier
Speaker: Seho Park
Abstract:
Survey data integration using mass imputation Read more about PhD Defense Seminar - Seho Park
SPEAKER: Xiaojun Mao
ABSTRACT:
Matrix Completion under Low-Rank Missing Mechanism
Speaker: Yeon-Jung Seo
Abstract:
Selection and assessment of bivariate Markov random field models Read more about PhD Defense Seminar - Yeon-Jung Seo
Sixia Chen
The University of Oklahoma Heath Services Center
Pseudo-population bootstrap methods for imputed survey data Read more about Dept. Seminar - Sixia Chen
Speaker: Andrew Sage
ABSTRACT
A Robust Residual-Based Approach to Random Forest Regression Read more about PhD Defense Seminar - Andrew Sage
Speaker: Yet Nguyen
ABSTRACT:
RNA-seq Differential Expression Analysis for Repeated-measures Data Read more about PhD Defense Seminar - Yet Nguyen
Richard Smith
Department of Statistics and Operations Research
University of North Carolina, Chapel Hill
INFLUENCE OF CLIMATE CHANGE ON EXTREME WEATHER EVENTS Read more about Dept. Seminar - Richard Smith
Abolfazl Safikhani
Department of Statistics
Columbia University
Joint Structural Break Detection and Parameter Estimation in High-Dimensional Non-Stationary VAR Models
Assuming stationarity is unrealistic in many time series applications. A more realistic alternative is to
allow for piecewise stationarity, where the model is allowed to change at given time points. In this talk, we propose a
three-stage procedure for consistent estimation of both structural change points and parameters of high- Read more about Dept. Seminar - Abolfazl Safikhani
Lan Xue
Department of Statistics
Oregon State University
Semi-parametric method for non-ignorable missing in longitudinal data using refreshment samples.
Missing data is one of the major methodological problems in longitudinal studies. It not only reduces the sample size, but also can result in biased estimation and inference. It is crucial to correctly understand the missing mechanism and appropriately incorporate it into the estimation and inference procedures. Read more about Dept. Seminar - Lan Xue
Tom Loughin
Statistics and Actuarial Science
Simon Fraser University
Adaptively Pruned Random Forests Using Likelihood-Based Trees Read more about Dept. Seminar - Tom Loughin
Farzad Sabzikar
Department of Statistics
Iowa State University
Tempered processes: Theory and applications Read more about Dept. Seminar - Farzad Sabzikar
Jan Hanning
University of North Carolina at Chapel Hill
Generalized fiducial Inference: A Review Read more about Dept. Seminar - Jan Hannig
DATE AND TIME: Friday, March 2, 2018, 2:10 p.m.
PLACE: Snedecor 1109
SPEAKER: Nicholas Clark
ABSTRACT:
Self-Exciting Spatio-Temporal Models for Count Data
Zongwu Cai
Department of Economics
University of Kansas
Models on Testing Predictability of Asset Returns
Testing predictability of asset returns is a cornerstone issue in modern asset pricing
and the related fields. It has been one of the hottest research topics in asset pricing
field in the recent two decades. In this talk, I will combine several of my own papers
(published papers and ongoing projects) on testing predictability of asset returns and Read more about Dept. Seminar - Zongwu Cai
Somak Dutta
Department of Statistics
Iowa State University
A Bayesian screening method in ultra-high dimensional settings Read more about Dept. Seminar - Somak Dutta
Michael Price
Department of Statistics
Iowa State University
An Investigation of Actuarial Fair Crop Insurance Rates Using Partial Derivatives of Penalized Bivariate Tensor Product B-splines
A Special Galentine's Day Event!
"Plotting Your Date With ggplot2"
Who: Dr. Heike Hofmann
When: Tuesday, February 13th, 5:15pm
Where: Snedecor 3121
RSVP ASAP: meetup.com/R-Ladies-Ames
More Info Here:
galentines-flyer.pdf Read more about Plotting Your Date With ggplot2 - Galentine's Day!
William G. Meeker
Department of Statistics
Iowa State University
Statistical Intervals Vive La Differénce! Read more about Dept. Seminar - William Q. Meeker
Mark Nieman
Department of Political Science
Iowa State University
Strategic Binary Choice Models with Partial Observability
Yumou Qiu
University of Nebraska Lincoln
Threshold selection for covariance learning Read more about Dept. Seminar - Yumou Qiu
Zihuai He
Columbia University
Inference for statistical interactions under misspecified or high-dimentional main effects Read more about Dept. Seminar - Zihuai He
Xiongtao Dai
University of California, Davis
Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres Read more about Dept. Seminar - Xiongtao Dai
Yang Ni
University of Texas at Austin
Integrative Directed Cyclic Graphical Models with Heterogeneous Samples Read more about Dept. Seminar - Yang Ni
Andee Kaplan
Duke University
A Fast Sampler for Data Simulation from Spatial, and Other, Markov Random Fields Read more about Dept. Seminar - Andee Kaplan
Kris De Brabanter
Iowa State University
Department of Statistics and Computer Science
Local polynomial regression with correlated errors and unknown correlation structure Read more about Dept. Seminar - Kris De Brabanter
Yimin Xiao
Michigan State University
Joint Estimation of Fractal Indices for Bivariate Gaussian Processes
Multivariate (or vector-valued) stochastic processes are important in probability, statistics and various scientific areas as stochastic models. In recent years, there has been increasing interest in investigating their statistical inference and prediction. Read more about Dept. Seminar - Yimin Xiao
Daniel Sewell
University of Iowa
Simultaneous and temporal autoregressive network models Read more about Dept. Seminar - Daniel Sewell
Subhajit Dutta
Indian Institute of Technology, Kanpur
Multi-scale Classification using Localized Spatial Depth Read more about Dept. Seminar - Subhajit Dutta
Tim Hesterberg
Google, Inc.
Statistics and Big Data at Google
Google lives on data. Search, Ads, YouTube, Maps, ... - they all live on data. I'll tell stories about how we use data, how we're always experimenting to make improvements (yes, this includes your searches), and how we adapt statistical ideas to do things that have never been done before.
BIO:
Read more about Statistics Seminar Series on Data Science - Tim Hesterberg
Bin Yu
University of California, Berkeley
Three principles of data science: predictability, stability, and computability Read more about Lawrence H. Baker Lecture - Bin Yu
Alejandro Murua
University of Montreal
A Bayesian lasso functional model-based clustering model
We develop a flexible model for the analysis and clustering of complete or sparse time-course data. Read more about Dept. Seminar - Alejandro Murua
Sanvesh Srivastava
University of Iowa
Wasserstein barycenter and its application in distributed Bayesian inference
Yehua Li
Iowa State University
Department of Statistics
Semiparametric Regression and Nonparametric Hypothesis Tests for Functional Data Read more about Dept. Seminar - Yehua Li
Petrutza Caragea
Iowa State University
Department of Statistics
Modeling Space Weather Relationships using Multiscale Dynamic Linear Models Read more about Dept. Seminar - Petrutza Caragea
David Matteson
Department of Statistical Science
Cornell University
Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages Read more about Dept. Seminar - David Matteson
Chinmay Hegde
Electrical and Computer Engineering
Iowa State University
Fast(er) Algorithms for Machine Learning in High Dimensions Read more about Dept. Seminar - Chinmay Hegde
Max Morris
Iowa State University Department of Statistics
Statistics Opening Seminar
This introductory "seminar" is our official "Welcome" event for new faculty and students in the Department. Professors Morris, Caragea and Kaiser will introduce new Statistics faculty members, present student awards, and describe plans for some professional development workshops for new and returning graduate students.
Refreshments at 3:45pm in Snedecor 2101. Read more about Dept. Seminar - Max Morris
Donna Spiegelman
Harvard University
Measurement error: from Fuller to the future Read more about Fuller Lecture - Donna Spiegelman
Mikyoung Jun
Texas A&M University
Covariance models for spatial data on a global scale Read more about Dept. Seminar - Mikyoung Jun
Steve Lund
National Institute of Standards and Technology
Assessing High Dimensional Evidence: Scores, Probability, and Scientific Validity Read more about Dept. Seminar - Steve Lund
Danica Ommen
South Dakota State University
Approximate Solutions to the Forensic Identification of Source Problems Read more about Dept. Seminar - Danica Ommen
John Sall
JMP
From Big Data to Big Statistics
Now that we have Big Data we have new challenges. When big data is wide, there are too many things to look at. When we screen for just the big effects, we need to worry about selection bias. When we graph significance, we have the change scales. When you have tall data, everything is significant, but many effects are too small to care about. When you have holes and bumps all over your data, you need something automatic to adapt to them. All this needs to be resolved in a Big Statistics analytic work flow. Read more about Dept. Seminar - John Sall, JMP
Marina Vannucci
Rice University
Bayesian Variable Selection Methods for Large-scale Genomic and Neuroimaging Data
There is now a huge literature on methods for variable selection that use spike-and-slab priors. Such methods, in particular, have been quite successful for applications in a variety of different fields.
High-throughput genomics and neuroscience are two of such examples. Read more about Dept. Seminar - Marina Vannucci
Chris Saunders
South Dakota State University
Using Subsampling to Investigate the Dependency of Match Probabilities on the Size of Writing Samples Read more about Dept. Seminar - Chris Saunders
Jean Opsomer
Professor
Department of Statistics
Colorado State University
Survey estimation of domain means that respect natural orderings Read more about Dept. Seminar - Jean Opsomer
Ranjan Maitra
Dept. of Statistics
Iowa State University
FAST Adaptive Smoothed Thresholding for Improved Activation Detection in Low-Signal fMRI
Naomi Kaplan,
Hebrew University, Israel
Statistical Methods for Evaluating Forensic Evidence: The Case of Shoe Prints Read more about Dept. Seminar- Naomi Kaplan
David Miller:
Integrated Statistics, Woods Hole, MA,
Centre for Research into Ecological and Environmental Modelling & School of Mathematics and Statistics, University of St Andrews, Scotland
Woods Hole Oceanographic Institution, Woods Hole, MA
Where the whale-things are: Distribution, detectability and availability modelling for cetacean populations. Read more about Dept. Seminar - David Miller
Webscraping with tidyverse Packages in R Read more about R-Ladies Ames Meetup
Soumik Sarkar
Assistant Professor
Department of Mechanical Engineering Iowa State University
Spatiotemporal Graphical Modeling for Complex Cyber-Physical Systems Read more about Dept. Seminar - Soumik Sarkar
Yumou Qiu
Asst. Professor
University of Nebraska-Lincoln
Lincoln, NE
Statistical Inference for Large Precision Matrices with Applications to Brain Connectivity Read more about Dept. Seminar - Yumou Qiu
Jin Tian
Associate Professor
Computer Science
Iowa State University
Ames, Iowa
Inference with Selection Bias in Causal Graphical Models Read more about Jin Tian, Dept. Seminar
Dabao Zhang
Professor
Department of Statistics
Purdue University
West Lafayette. Indiana
A Novel Approach to Reveal Whole Systems of Gene-Gene Regulations Read more about Dabao Zhang, Dept. Seminar
Hongyuan Cao
Assistant Professor
Department of Statistics
University of Missouri
Columbia, Missouri
Change-point estimation: another look at multiple testing problems
We consider large scale multiple testing for data that have locally
clustered signals. With this structure, we apply techniques from
change-point analysis and propose a boundary detection algorithm so that
the clustering information can be utilised. Consequently the precision of Read more about Hongyuan Cao, Dept. Seminar
Lan Wang
Professor
Department of Statistics
University of Minnesota
Minneapolis, Minnesota
Estimation and Inference of Quantile Regression Under Biased Sampling Read more about Lan Wang, Dept. Seminar
Lan Zhu
Associate Professor
Department of Statistics
Oklahoma State University
Stillwater, Oklahoma
A Powerful Statistical Method for Identifying Genes under Positive Selection from the Human Genome Read more about Lan Zhu, Dept. Seminar
Vivek Roy
Professor
Department of Statistics
Iowa State University
Ames, Iowa
Standard errors for generalized importance sampling estimators Read more about Vivek Roy, Dept. Seminar
Using the Random Forest to Estimate In-Game Win Probability
Bill Meeker
Distinguished Professor
Department of Statistics
Iowa State University
Ames, Iowa
Service Life Prediction of Field-Exposed Units Based on Laboratory Accelerated Degradation Test Data Read more about Bill Meeker, Dept. Seminar
Joe Guinness
Assistant Professor
Department of Statistics
North Carolina State University
Raleigh, North Carolina
Permutation Methods for Sharpening Gaussian Process Approximations Read more about Joe Guinness, Dept. Seminar
Zhengyuan Zhu
Professor
Department of Statistics
Iowa State University
Ames, Iowa
Non-Stationary Spatial Models: Some Theory and Applications Read more about Zhengyuan Zhu, Dept. Seminar
Quentin Brummet
Chief, Experiments and Innovation Branch
Center for Administrative Records Research and Applications
U.S. Census Bureau
Administrative Records Use at the US Census Bureau Read more about Quentin Brummet, Dept. Seminar
Sharon Lohr
Vice President
Westat
Rockville, MD
The Essential Survey Statistician Read more about Sharon Lohr, Dept. Seminar
Jarad Niemi
Assistant Professor
Department of Statistics
Iowa State University
Ames, Iowa
Fully Bayesian analysis of RNAseq data for gene expression heterosis detection Read more about Jarad Niemi, Dept. Seminar
Xiaoke Zhang
Assistant Professor
Department of Statistics
University of Delaware
Newark, Delaware
https://sites.google.com/a/udel.edu/xkzhang/home
A Systematic Study on Weighing Schemes for Functional Data Read more about Xiaoke Zhang, Dept. Seminar
Zhengjun Zhang
Professor
Department of Statistics
University of Wisconsin
Madison, Wisconsin
ATM: Autoregressive Tail-index Model for Financial Time Series Read more about Zhengjun Zhang, Dept. Seminar
(Dept Seminar) Max Morris, Department of Statistics, Iowa State University, Ames
This introductory “seminar” is our official “Welcome” event for new students in the Department. Professors Morris, Caragea, and Kaiser will introduce the new Statistics students, present student awards, and present the results of last year’s survey on professional development workshops for graduate students. Read more about Statistics Opening Seminar, Max Morris
This introductory “seminar” is our official “Welcome” event for new students in the Department. Professors Morris, Caragea, and Kaiser will introduce the new Statistics students, present student awards, and present the results of last year’s survey on professional development workshops for graduate students Read more about Opening Statistics Seminar, Max Morris
In many areas of application, like medical sciences, variables of interest are not directly observable and may be measured only in the presence of contaminating errors. These cases are often referred as ``measurement error problems.'' Kernel deconvolution density estimation (KDDE) is an approach for handling such measurement errors, which consists of separating out and estimating the density of a target variable from observations blurred by additive errors. The method involves an adaptation of kernel density estimation using the Fourier inversion theorem. Read more about Guillermo Basulto-Elias, Computation of kernel deconvolution density estimators
Read more about Prediction and Inference with Missing Data in Patient Alert Systems
| Date: | Friday, February 05 |
| Time: | 2:00 pm -- 3:00 pm |
| Place: | Snedecor 2102 |
| Speaker: | Ian Mouzon and Evan "Pete" Walsh, Department of Statistics, Iowa State University |
We are excited to announce the formation of a new working group, the Efficient Computing Workflow group. Read more about Efficient Computing Workflow Group
Read more about Multiple Testing with Heterogeneous Multinomial Distributions
Read more about Using the geomnet Package: Visualizing African Slave Trade, 1514 - 1866,
07 December 4:10 pm, Snedecor 3105
Multilevel Functional Data Analysis: Modeling and Testing, (Dept Seminar) Yuhang Xu, Department of Statistics, Iowa State University, Ames Read more about Multilevel Functional Data Analysis: Modeling and Testing
04 December 3:10 pm, Snedecor 2113
Goodness of fit tests for spatial Markov random fields, (Dept Seminar) Andee Kaplan, Department of Statistics, Iowa State University, Ames Read more about Goodness of fit tests for spatial Markov random fields
16 November 4:10 pm, Snedecor 3105
Bayesian Screening for Group Differences in High-Throughput Data, (Dept Seminar) Eric Lock, Department of Biostatistics, University of Minnesota, Minneapolis Read more about Bayesian Screening for Group Differences in High-Throughput Data
11 November 4:10 pm, Snedecor 1109
Graphing better Impulse Response Functions for discrete-time linear models, (Other) Gray Calhoun, Department of Economics, Iowa State University, Ames Read more about Graphing better Impulse Response Functions for discrete-time linear models
02 November 4:10 pm, Snedecor 3105
A Ballooned Beta-Logistic Model with a Bioassay Application, (Dept Seminar) Nancy Flournoy, Department of Statistics, University of Missouri Read more about A Ballooned Beta-Logistic Model with a Bioassay Application
26 October 4:10 pm, Snedecor 3105
Fractional Factorial Designs with Clear Two-Factor Interactions, (Dept Seminar) Huaiqing Wu, Department of Statistics, Iowa State University, Ames Read more about Fractional Factorial Designs with Clear Two-Factor Interactions
19 October 4:10 pm, Snedecor 3105
Design and Analysis of Definitive Screening Experiments (Zyskind Memorial Lecture), (Dept Seminar) Christopher J. Nachtsheim, Frank A. Donaldson Chair of Operations Management, Carlson School of Management, University of Minnesota, Minneapolis Read more about Design and Analysis of Definitive Screening Experiments (Zyskind Memorial Lecture)
16 October 1:00 pm, Snedecor 2113
Experimental designs for multiple responses with different models, (Dept Seminar) Wilmina Marget, Department of Statistics, Iowa State University, Ames Read more about Experimental designs for multiple responses with different models
13 October 7:30 pm, Durham 0171
Statisticians at Work: Inspiration, Aspiration, Ambition, (Dept Seminar) Jeff Wu, Coca-Cola Chair in Engineering Statistics, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta Read more about Statisticians at Work: Inspiration, Aspiration, Ambition
12 October 4:10 pm, Morrill Hall 2019
A Fresh Look at Effect Aliasing and Interactions: Some New Wine in Old Bottle, (Dept Seminar) Jeff Wu, Coca-Cola Chair in Engineering Statistics, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta Read more about A Fresh Look at Effect Aliasing and Interactions: Some New Wine in Old Bottle
| Date: | Thursday, October 09 |
| Time: | 3:30 pm -- 4:30 pm |
| Place: | 2624 Howe Hall |
| Speaker: | Barret Schloerke |
05 October 4:10 pm, Alliant Energy-Lee Auditorium, Howe Hall
Statistics in the Era of Big Data � Genetics and Genomics, (Dept Seminar) Robert Gentleman, 23andMe Read more about Statistics in the Era of Big Data: Genetics and Genomics
| Date: | Friday, October 03 |
| Time: | 2:10 pm -- 4:00 pm |
| Place: | Heady 378C |
| Speaker: | Shan Yang and Hainan Huang |
Shan Yang will make concluding comments on Merton's derivation of the Black-Scholes formula.
Read more about Using Accelerated Life Tests Results to Predict Product Field Reliability
Read more about Modeling Outlying Labs in Inter-Laboratory Studies
Read more about The relationship between Put and Call options
| Date: | Friday, September 19 |
| Time: | 9:00 am -- 10:00 am |
| Place: | Sweeney 1123 |
| Speaker: | Jon Hobbs |
Abstract:
In the statistical modeling of an environmental process, it can be
useful to decompose the process into large-scale and small-scale Read more about Hidden Markov Random Fields: Spatial Random Effects for Lattice Data
| Date: | Monday, September 15 |
| Time: | 3:10 pm -- 4:00 pm |
| Place: | Carver 298 |
| Speaker: | Nicholas Beyler |
Nicholas Beyler (presenting), Sarah Nusser, Wayne Fuller, Gregory Welk
Iowa State University
Read more about Local Structure Graph Models, Parameter Centering & Higher-Order Dependence,
Read more about Detection of Rare and Faint Signals on High-Dimensional Count Distribution
Read more about Local Structure Graph Models, Parameter Centering & Higher-Order Dependence
Read more about Detection of Rare and Faint Signals on High-Dimensional Count Distribution
Read more about Hierarchical Poisson Models for Spatial Count Data: A Closer Look
Read more about Random Matrix Theory and Covariance Matrix Estimation
Read more about A practical bootstrap method for testing hypotheses from survey data
Read more about Semiparametric estimation of spectral density function for irregular spatial data
Read more about Relative fixed-width stopping rules for Markov chain Monte Carlo simulations
Read more about Causal mediation analysis under the presence of unmeasured confounder
| Date: | Wednesday, April 02 |
| Time: | 4:10 pm -- 5:00 pm |
| Place: | Snedecor 3105 |
| Speaker: | Jacques Delince, European Commission Joint Research Centre, IPTS - Agriculture and Life Sciences in the Economy, Seville, Spain |
WAYNE FULLER LECTURE
Read more about Bayesian Variable Selection in the Presence of Multicollinearity
Read more about Transitivity, scale-invariance, and rank tests
Read more about Regularized Semiparametric Functional Linear Regression
Read more about Covariance assisted screening and estimation
Read more about On the Identifiability of Q-matrix Based CDM's
Read more about Big Data: The End of Sampling As We Know It?
Read more about Recursive nonparametric estimation for time series
Read more about Aspects of Long-Range First-Passage Percolation
Read more about Estimation of the Central Orientation for Rotation Data
| Date: | Friday, March 15 |
| Time: | 12:00 pm -- 1:00 pm |
| Place: | Snedecor 2113 |
| Speaker: | Michael Price, Department of Statistics, ISU |
There is increasing interest in the use of administrative data as input to the estimation process for survey data. Read more about Evaluating Errors in Administrative Data
Total Survey Error
Abstract:The survey working group will continue to discuss total survey error. We will meet on Friday 2/22 at 12:00 in Sned 2113. |
| Date: | Friday, February 01 |
| Time: | 12:00 pm -- 1:00 pm |
| Place: | Snedecor 2113 |
| Speaker: |
| Date: | Wednesday, January 30 |
| Time: | 3:10 pm -- 4:00 pm |
| Place: | Snedecor 2113 |
| Speaker: | Carson Sievert, Department of Statistics, ISU |
Data-driven web applications are quickly gaining traction as a reliable vehicle for Read more about Getting Started with Shiny
| Date: | Wednesday, January 23 |
| Time: | 3:10 am -- 4:00 pm |
| Place: | 2113 Snedecor |
| Speaker: | Heike Hofmann, Department of Statistics, Iowa State U |
Welcome to Spring Semester Statistical Graphics Group Meeting
The advent of ultra-high throughput sequencing technology has made it possible to directly sequence large numbers of mRNA fragments, obtaining a direct measure of mRNA abundance. Restriction enzyme fragmentation reliably produces a single sequenced fragment per mRNA, providing a direct measure of digital gene expression from tag counts. However, genes in complex organisms may encode multiple mRNAs, called isoforms which result in different proteins. Since each restriction site can belong to multiple isoforms, the counts must be partitioned among the is Read more about Resolving Isoform Expression using Digital Gene Expression Data
| Date: | Thursday, April 15 |
| Time: | 8:00 am -- 9:00 am |
| Place: | 2113 Snedecor |
| Speaker: | Angela Zuo, Department of Statistics, ISU |
| Date: | Monday, April 12 |
| Time: | 4:10 pm -- 5:00 pm |
| Place: | 3105 Snedecor |
| Speaker: | Dale Zimmerman, Dept. Statistics & Actuarial Science, U of IA, IA City |
| Date: | Monday, April 12 |
| Time: | 10:30 am -- 11:30 am |
| Place: | 2113 Snedecor |
| Speaker: | Ling Huang, Department of Statistics, Iowa State U |
A Comprehensive Analysis for Multiple Genomic Data Types via Bayesian Path Analysis, (Bioinformatics and Genetic Statistics) Steve Lund, Department of Statistics, Iowa State University Read more about A Comprehensive Analysis for Multiple Genomic Data Types via Bayesian Path Analysis
