Events Archive

Seminar: An Explainable Pipeline for Machine Learning with Functional Data

Monday, June 21, 2021 - 12:00pm

Abstract: Machine learning models are commonly used in applications with an objective of prediction. The complicated algorithms of many of these models, however, make them difficult to interpret. Methods have been proposed to provide insight into these "black-box" models, but there is little research that focuses on the situation when functional data are used as model inputs.

Seminar: necessary and sufficient conditions for posterior propriety for generalized linear mixed models

Thursday, June 17, 2021 - 2:00pm

Abstract: Generalized linear mixed models (GLMMs) are often used to analyze non-Gaussian data arising from different studies. In Bayesian GLMMs, the commonly used improper priors may yield undesirable improper posterior distributions. Here we consider the popular improper uniform prior to the regression coefficients and several proper or improper priors including the widely used gamma and power priors on the variance components of the random effects. We derive necessary and sufficient conditions for posterior propriety for Bayesian binomial and Poisson GLMMs.

Midwest Big Data Summer School

Monday, May 17, 2021 - 9:00am to Thursday, May 20, 2021 - 3:00pm

The Midwest Big Data Summer School will held online on May 17-20, 2021.

Baker Center Seminar Series on SARS-CoV2/COVID-19 - Laura Miller

Tuesday, December 1, 2020 - 10:00am to 11:00am

Speaker: Laura Miller

Virus and Prion Research Unit, USDA-ARS-NADC

Title: Integrate structural analysis, isoform diversity, and interferon-inductive propensity of ACE2 to predict SARS-CoV-2 susceptibility in vertebrates

Additional details about each talk and speaker will be made available on the Baker Center website

Baker Center Seminar Series on SARS-CoV2/COVID-19 - Dan Jacobson

Tuesday, October 20, 2020 - 10:00am to 11:00am

Speaker: Dan Jacobson

Computational Systems Biology, Biosciences, Oak Ridge National Laboratory

Title: A mechanistic model and therapeutic interventions for COVID-19 involving a RAS-mediated bradykinin storm

Additional details about each talk and speaker will be made available on the Baker Center website

 

Dept. Seminar - Peihua Qiu

Monday, November 4, 2019 - 4:10pm

Peihua Qiu, U. Florida

 

 

Modeling and Monitoring Spatio-Temporal Disease Incidence Rate Data

 

Dept. Seminar - D. Sen

Monday, October 14, 2019 - 4:10pm

D. Sen
SAMSI

 

Monte Carlo algorithms on distributed architectures

Dept. Seminar - Peng Liu

Monday, October 7, 2019 - 4:10pm

Department Seminar

Peng Liu
Department of Statistics, Iowa State University

 

Feature Selection in Microbiome Studies

Dept. Seminar - Lily Wang

Monday, September 30, 2019 - 4:10pm

Department Seminar

Lily Wang
Department of Statistics, Iowa State University

 

 Statistical Modeling and Inference for Next-Generation Functional Data Analysis

Dept. Seminar - ISU Data Mining Cup Project

Monday, September 9, 2019 - 4:10pm

ISU Data Mining Cup project
Qihao Zhang, Yifan Zhu, Xingche Guo (Stat DMC Team)

A team of Iowa State University graduate students beat nearly 150 teams from 114 universities in 28 countries, bringing home the top prize from the 20th annual Data Mining Cup (2019). Representatives from the winning team will describe their project in this talk.

More on this can be found in the following links:

https://www.news.iastate.edu/news/2019/07/08/data-mining

Welcome Back Seminar - Dan Nettleton

Monday, August 26, 2019 - 4:10pm

Department Seminar

Dan Nettleton
Department Chair
Department of Statistics, Iowa State University

The opening seminar of the semester serves as a “Welcome” event for Statistics students, staff, and faculty.  We will introduce some new members of our Statistics community, present student awards, celebrate some successes of the past year, and announce some upcoming opportunities.


Refreshments at 3:45pm in Snedecor 2101.

What is Brownian motion?

Monday, March 11, 2019 - 4:10pm to 5:00pm

Krishna Athreya
Iowa State University

 

What is Brownian motion?

Dept. Seminar - Xiaoyue (Zoe) Cheng

Tuesday, February 12, 2019 - 3:40pm

Xiaoyue (Zoe) Cheng 
Department of Mathematics
University of Nebraska at Omaha

 

 

Recognition of Crop Alignment for Unmanned Aerial Vehicle Imagery Data

Dept. Seminar - Susan Vanderplas

Friday, February 8, 2019 - 3:40pm

Susan Vanderplan
Iowa State University

 

CoNNOR: A Convolutional Neural Network for Outsole Recognition

Dept. Seminar - Jingshen Wang

Thursday, February 7, 2019 - 3:40pm

Jingshen Wang
University of Michigan

 

 Inference on Treatment Effects after Model Selection

Dept. Seminar - Karen Nielsen

Tuesday, February 5, 2019 - 3:40pm

 Karen Nielsen
University of Michigan

Statistical Tools for Exploring and Testing Features of Waveform Data

Dept. Seminar - Zhengling Qi

Thursday, January 31, 2019 - 3:40pm

Zhengling Qi
University of North Carolina at Chapel Hill

 

Learning Optimal Individualized Decision Rules with Risk Control

Dept. Seminar - Susan Vanderplas

Tuesday, January 29, 2019 - 3:40pm

Susan Vanderplas
Iowa State University

 

CoNNOR: A Convolutional Neural Network for Outsole Recognition

Dept. Seminar - Xin "Henry" Zhang

Thursday, January 24, 2019 - 3:40pm

Xin (Henry) Zhang
Department of Statistics
Florida State University

 

Covariate-adjusted tensor classification in high-dimensions 

Dept. Seminar - Xueying Tang

Tuesday, January 22, 2019 - 3:40pm

 Xueying Tang 
Columbia University 

 

Analysis of Large Multi-Relational Networks

Dept. Seminar - Jon Williams

Friday, January 18, 2019 - 3:40pm

Jon Williams 

University of North Carolina, Chapel Hill 

 

Non-penalized variable selection in high-dimensional settings via generalized fiducial inference

Dept. Seminar - Lynna Chu

Thursday, January 17, 2019 - 3:40pm

Lynna Chu

 

Asymptotically distribution-free change-point detection for multivariate and non-Euclidean data

Dept. Seminar - Linjun Zhang

Tuesday, January 15, 2019 - 3:40pm

Linjun Zhang

 

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy

Dept. Seminar - Amy Braverman

Monday, November 12, 2018 - 4:10pm to 5:00pm

Amy Braverman

Principal Statistician
Jet Propulsion Laboratory
 

Uncertainty Quantication for NASA's Orbiting Carbon Observatory-2 Mission

Dept. Seminar - Farzad Sabzikar

Monday, November 5, 2018 - 4:10pm to 5:00pm

Farzad Sabzikar
Department of Statistics
Iowa State University

 

Stochastic processes with semi-long range dependence

Dept. Seminar - William Meeker

Monday, October 29, 2018 - 4:10pm to 5:00pm

William Q. Meeker
Department of Statistics
Iowa State University

 

Applications of the Fractional Random Weight Bootstrap

Dept. Seminar - Giles Hooker

Monday, October 22, 2018 - 4:10pm to 5:00pm

Giles Hooker
Cornell University

 

Decision Trees and CLT's: Inference and Machine Learning

Dept. Seminar - Huilin Li

Monday, October 15, 2018 - 4:10pm to 5:00pm

Huilin Li
New York University, School of Medicine

 

Statistical Challenges in the Analyses of Human Microbiome Data

Dept. Seminar - Arka Ghosh

Monday, October 8, 2018 - 4:10pm to 5:00pm

Arka Ghosh
Department of Statistics
Iowa State University

 

Queueing networks in heavy traffic: History and some recent results

 

Dept. Seminar - Babette Brumback

Monday, October 1, 2018 - 4:10pm to 5:00pm

Babette Brumback
University of Florida

 

Model-Based Standardization Using an Outcome Model with Random Effects

Dept. Seminar - Lily Wang

Monday, September 24, 2018 - 4:10pm to 5:00pm

Lily Wang
Department of Statistics
Iowa State University

 

Estimation and Inference for Image-on-Scalar Regression with Application to Imaging Genetics Studies

Dept. Seminar - Kris De Brabanter

Monday, September 17, 2018 - 4:10pm

Kris De Brananter
Department of Statistics
Iowa State University

 

ABSTRACT:

 

Convergence Rates for Uniform Confidence Intervals Based on Local Polynomial Regression Estimators

 

We investigate the convergence rates of uniform bias corrected confidence intervals for a smooth curve using local polynomial regression for both the interior and boundary region.

Dept. Seminar - Qing Li

Monday, September 10, 2018 - 4:10pm to 5:00pm

Qing Li
Industrial & Manufacturing Systems Engr
Iowa State University

 

Change-Points Detection in the Recurrent-Event Context via Bayesian Inference

Statistics Opening Seminar

Monday, August 27, 2018 - 4:10pm to 5:00pm

Max Morris, Petrutza Caragea, Mark Kaiser
Department of Statistics
Iowa State University

 

ABSTRACT:

 

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.

 

Dept. Seminar - Irène Gijbels

Thursday, May 10, 2018 - 11:00am

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”

Dept. Seminar - Gustavo Didier

Monday, April 23, 2018 - 4:10pm to 5:00pm

Gustavo Didier
Tulane University

 

On multidimensional scaling

Gustavo Didier, Tulane University

Dept. Seminar - Sixia Chen

Monday, April 16, 2018 - 4:10pm

Sixia Chen
The University of Oklahoma Heath Services Center

 

Pseudo-population bootstrap methods for imputed survey data

PhD Defense Seminar - Yet Nguyen

Thursday, April 12, 2018 - 2:00pm

Speaker: Yet Nguyen

 

ABSTRACT:

RNA-seq Differential Expression Analysis for Repeated-measures Data

Dept. Seminar - Richard Smith

Wednesday, April 11, 2018 - 4:10pm to 5:00pm

Richard Smith
Department of Statistics and Operations Research
University of North Carolina, Chapel Hill

 

INFLUENCE OF CLIMATE CHANGE ON EXTREME WEATHER EVENTS

Dept. Seminar - Abolfazl Safikhani

Monday, April 9, 2018 - 4:10pm

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-

Dept. Seminar - Lan Xue

Monday, April 2, 2018 - 4:10pm to 5:00pm

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. 

Dept. Seminar - Tom Loughin

Monday, March 26, 2018 - 4:10pm to 5:00pm

Tom Loughin
Statistics and Actuarial Science
Simon Fraser University

 

 

Adaptively Pruned Random Forests Using Likelihood-Based Trees

Dept. Seminar - Farzad Sabzikar

Monday, March 19, 2018 - 4:10pm to 5:00pm

Farzad Sabzikar
Department of Statistics
Iowa State University

Tempered processes: Theory and applications 

Dept. Seminar - Jan Hannig

Monday, March 5, 2018 - 4:10pm to 5:00pm

Jan Hanning
University of North Carolina at Chapel Hill

 

Generalized fiducial Inference: A Review

PhD Defense Seminar - Nicholas Clark

Friday, March 2, 2018 - 2:10pm to 3:00pm

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

 

Dept. Seminar - Zongwu Cai

Monday, February 26, 2018 - 4:10pm to 5:00pm

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

Dept. Seminar - Somak Dutta

Wednesday, February 21, 2018 - 4:10pm to 5:00pm

Somak Dutta
Department of Statistics
Iowa State University

 

A Bayesian screening method in ultra-high dimensional settings

PhD Defense Seminar - Michael Price

Wednesday, February 21, 2018 - 3:00pm

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

 

Dept. Seminar - William Q. Meeker

Monday, February 5, 2018 - 4:10pm to 5:00pm

William G. Meeker
Department of Statistics
Iowa State University

 

Statistical Intervals Vive La Differénce!

Dept. Seminar - Mark Nieman

Monday, January 29, 2018 - 4:10pm to 5:00pm

Mark Nieman
Department of Political Science 
Iowa State University

 

 Strategic Binary Choice Models with Partial Observability

 

Dept. Seminar - Yumou Qiu

Wednesday, January 24, 2018 - 4:10pm to 5:00pm

Yumou Qiu
University of Nebraska Lincoln

 

Threshold selection for covariance learning

Dept. Seminar - Zihuai He

Monday, January 22, 2018 - 4:10pm to 5:00pm

Zihuai He
Columbia University

 

Inference for statistical interactions under misspecified or high-dimentional main effects

Dept. Seminar - Xiongtao Dai

Thursday, January 18, 2018 - 2:10pm to 3:00pm

Xiongtao Dai
University of California, Davis

 

Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres

Dept. Seminar - Yang Ni

Tuesday, January 16, 2018 - 2:10pm to 3:00pm

Yang Ni
University of Texas at Austin

 

Integrative Directed Cyclic Graphical Models with Heterogeneous Samples

Dept. Seminar - Andee Kaplan

Wednesday, January 10, 2018 - 4:10pm to 5:00pm

Andee Kaplan
Duke University

 

A Fast Sampler for Data Simulation from Spatial, and Other, Markov Random Fields

Dept. Seminar - Kris De Brabanter

Monday, December 4, 2017 - 4:10pm to 5:00pm

Kris De Brabanter
Iowa State University
Department of Statistics and Computer Science

 

Local polynomial regression with correlated errors and unknown correlation structure

Dept. Seminar - Yimin Xiao

Monday, November 27, 2017 - 4:10pm to 5:00pm

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. 

Dept. Seminar - Daniel Sewell

Monday, November 13, 2017 - 4:10pm to 5:00pm

Daniel Sewell
University of Iowa

 

Simultaneous and temporal autoregressive network models

Dept. Seminar - Subhajit Dutta

Monday, November 6, 2017 - 4:10pm to 5:00pm

Subhajit Dutta
Indian Institute of Technology, Kanpur

 

Multi-scale Classification using Localized Spatial Depth

Statistics Seminar Series on Data Science - Tim Hesterberg

Tuesday, October 31, 2017 - 11:00am to 11:50am

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:

Lawrence H. Baker Lecture - Bin Yu

Monday, October 30, 2017 - 4:10pm to 5:00pm

Bin Yu
University of California, Berkeley

 

Three principles of data science: predictability, stability, and computability

Dept. Seminar - Alejandro Murua

Monday, October 23, 2017 - 4:10pm to 5:00pm

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.

Dept. Seminar - Sanvesh Srivastava

Monday, October 16, 2017 - 4:10pm to 5:00pm

Sanvesh Srivastava
University of Iowa

Wasserstein barycenter and its application in distributed Bayesian inference

 

Dept. Seminar - Yehua Li

Monday, October 9, 2017 - 4:10pm to 5:00pm

Yehua Li
Iowa State University
Department of Statistics

Semiparametric Regression and Nonparametric Hypothesis Tests for Functional Data

Dept. Seminar - Petrutza Caragea

Monday, October 2, 2017 - 4:10pm to 5:00pm

Petrutza Caragea
Iowa State University
Department of Statistics

 

Modeling Space Weather Relationships using Multiscale Dynamic Linear Models

Dept. Seminar - David Matteson

Monday, September 25, 2017 - 4:10pm to 5:00pm

David Matteson
Department of Statistical Science
Cornell University

 

Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages

Dept. Seminar - Chinmay Hegde

Monday, September 18, 2017 - 4:10pm to 5:00pm

Chinmay Hegde
Electrical and Computer Engineering
Iowa State University

 

Fast(er) Algorithms for Machine Learning in High Dimensions

Dept. Seminar - Max Morris

Monday, August 28, 2017 - 4:10pm to 5:00pm

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.

Dept. Seminar - Mikyoung Jun

Monday, April 24, 2017 - 4:10pm to 5:00pm

Mikyoung Jun
Texas A&M University

 

Covariance models for spatial data on a global scale

Dept. Seminar - Steve Lund

Monday, April 10, 2017 - 4:10pm to 5:00pm

Steve Lund 
National Institute of Standards and Technology

 

Assessing High Dimensional Evidence:  Scores, Probability, and Scientific Validity

Dept. Seminar - Danica Ommen

Wednesday, April 5, 2017 - 4:10pm to 5:00pm

Danica Ommen
South Dakota State University

 

Approximate Solutions to the Forensic Identification of Source Problems

Dept. Seminar - John Sall, JMP

Tuesday, April 4, 2017 - 2:10pm to 3:00pm

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

Dept. Seminar - Marina Vannucci

Monday, March 27, 2017 - 4:10pm to 5:00pm

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. 

Dept. Seminar - Chris Saunders

Monday, March 20, 2017 - 4:10pm to 5:00pm

Chris Saunders
South Dakota State University

 

Using Subsampling to Investigate the Dependency of Match Probabilities on the Size of Writing Samples

Dept. Seminar - Jean Opsomer

Monday, March 6, 2017 - 4:10pm to 5:00pm

Jean Opsomer
Professor
Department of Statistics
Colorado State University

Survey estimation of domain means that respect natural orderings

Dept. Seminar - Ranjan Maitra

Monday, February 27, 2017 - 4:10pm to 5:00pm

Ranjan Maitra
Dept. of Statistics 
Iowa State University

 

FAST Adaptive Smoothed Thresholding for Improved   Activation Detection in Low-Signal fMRI

 

Dept. Seminar- Naomi Kaplan

Monday, February 20, 2017 - 4:10pm to 5:00pm

Naomi Kaplan,
Hebrew University, Israel

 

Statistical Methods for Evaluating Forensic Evidence: The Case of Shoe Prints

Dept. Seminar - David Miller

Monday, February 13, 2017 - 4:10pm to 5:00pm

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.

R-Ladies Ames Meetup

Thursday, February 9, 2017 - 4:00pm to 6:00pm

 

Webscraping with tidyverse Packages in R

Dept. Seminar - Soumik Sarkar

Monday, February 6, 2017 - 4:10pm to 5:00pm

Soumik Sarkar
Assistant Professor
Department of Mechanical Engineering Iowa State University

Spatiotemporal Graphical Modeling for Complex Cyber-Physical Systems

Dept. Seminar - Yumou Qiu

Monday, January 30, 2017 - 4:10pm to 5:00pm

Yumou Qiu
Asst. Professor
University of Nebraska-Lincoln
Lincoln, NE

Statistical Inference for Large Precision Matrices with Applications to Brain Connectivity

Jin Tian, Dept. Seminar

Monday, January 23, 2017 - 4:10pm to 5:00pm

Jin Tian
Associate Professor
Computer Science
Iowa State University
Ames, Iowa

 

Inference with Selection Bias in Causal Graphical Models

Dabao Zhang, Dept. Seminar

Monday, December 5, 2016 - 4:10pm to 5:00pm

Dabao Zhang
Professor
Department of Statistics
Purdue University
West Lafayette. Indiana 

A Novel Approach to Reveal Whole Systems of Gene-Gene Regulations

Hongyuan Cao, Dept. Seminar

Monday, November 28, 2016 - 4:10pm to 5:00pm

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

Lan Wang, Dept. Seminar

Monday, November 14, 2016 - 4:10pm to 5:00pm

Lan Wang
Professor
Department of Statistics
University of Minnesota
Minneapolis, Minnesota

Estimation and Inference of Quantile Regression Under Biased Sampling

Lan Zhu, Dept. Seminar

Monday, November 7, 2016 - 4:10pm to 5:00pm

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

Vivek Roy, Dept. Seminar

Monday, October 31, 2016 - 4:10pm to 5:00pm

Vivek Roy
Professor
Department of Statistics
Iowa State University
Ames, Iowa

Standard errors for generalized importance sampling estimators

Bill Meeker, Dept. Seminar

Monday, October 24, 2016 - 4:10pm to 5:00pm

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

Joe Guinness, Dept. Seminar

Monday, October 17, 2016 - 4:10pm to 5:00pm

Joe Guinness
Assistant Professor
Department of Statistics
North Carolina State University
Raleigh, North Carolina

Permutation Methods for Sharpening Gaussian Process Approximations

Zhengyuan Zhu, Dept. Seminar

Monday, October 10, 2016 - 4:10pm to 5:00pm

Zhengyuan Zhu
Professor
Department of Statistics
Iowa State University
Ames, Iowa

Non-Stationary Spatial Models: Some Theory and Applications

Quentin Brummet, Dept. Seminar

Monday, October 3, 2016 - 4:10pm to 5:00pm

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

Sharon Lohr, Dept. Seminar

Wednesday, September 28, 2016 - 4:10pm to 5:00pm

Sharon Lohr
Vice President
Westat
Rockville, MD

 

The Essential Survey Statistician

Jarad Niemi, Dept. Seminar

Monday, September 26, 2016 - 4:10pm to 5:00pm

Jarad Niemi
Assistant Professor
Department of Statistics
Iowa State University
Ames, Iowa

http://www.jarad.me/

 

Fully Bayesian analysis of RNAseq data for gene expression heterosis detection

Zhengjun Zhang, Dept. Seminar

Monday, September 12, 2016 - 4:10pm to 5:00pm

Zhengjun Zhang
Professor
Department of Statistics
University of Wisconsin
Madison, Wisconsin
 

ATM: Autoregressive Tail-index Model for Financial Time Series

Statistics Opening Seminar, Max Morris

Monday, August 29, 2016 - 4:10pm to 5:00pm

 (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.

Opening Statistics Seminar, Max Morris

Monday, August 29, 2016 - 4:10pm to 5:00pm

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

Guillermo Basulto-Elias, Computation of kernel deconvolution density estimators

Friday, August 5, 2016 - 11:00am to 11:45am

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.

Efficient Computing Workflow Group

Friday, February 5, 2016 - 2:00pm

Efficient Computing Workflow Group

 

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

Abstract:

We are excited to announce the formation of a new working group, the Efficient Computing Workflow group. 

Map Representation of Polling Data

Friday, October 9, 2015 - 3:30pm

Map Representation of Polling Data


 






Date: Thursday, October 09
Time: 3:30 pm -- 4:30 pm
Place: 2624 Howe Hall
Speaker: Barret Schloerke

Abstract:


Finance Paper Discussions

Saturday, October 3, 2015 - 2:15pm

Finance Paper Discussions

 

Date: Friday, October 03
Time: 2:10 pm -- 4:00 pm
Place: Heady 378C
Speaker: Shan Yang and Hainan Huang

Abstract:

Shan Yang will make concluding comments on Merton's derivation of the Black-Scholes formula.

 

Hidden Markov Random Fields: Spatial Random Effects for Lattice Data

Saturday, September 19, 2015 - 9:00am

Hidden Markov Random Fields: Spatial Random Effects for Lattice Data

 

Date: Friday, September 19
Time: 9:00 am -- 10:00 am
Place: Sweeney 1123
Speaker: Jon Hobbs

Abstract:

Abstract:
 

In the statistical modeling of an environmental process, it can be

useful to decompose the process into large-scale and small-scale

A week of R

Thursday, May 21, 2015 - 10:00am

A week of R

 

JRC Experience with Area Frame Sampling

Wednesday, April 2, 2014 - 4:15pm

JRC Experience with Area Frame Sampling

 

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

Abstract:

WAYNE FULLER LECTURE

 

Evaluating Errors in Administrative Data

Friday, March 15, 2013 - 12:00pm

Evaluating Errors in Administrative Data

 

Date: Friday, March 15
Time: 12:00 pm -- 1:00 pm
Place: Snedecor 2113
Speaker: Michael Price, Department of Statistics, ISU

Abstract:

There is increasing interest in the use of administrative data as input to the estimation process for survey data.  

Total Survey Error

Friday, February 22, 2013 - 12:00pm

Total Survey Error

 

Date: Friday, February 22
Time: 12:00 pm -- 1:00 pm
Place: Snedecor 2113
Speaker: Yang Li, Bin Liu and Shu Yang, Department of Statistics, ISU

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.  

Survey Working Group

Friday, February 1, 2013 - 12:00pm

Survey Working Group


 





Date: Friday, February 01
Time: 12:00 pm -- 1:00 pm
Place: Snedecor 2113
Speaker:

Getting Started with Shiny

Wednesday, January 30, 2013 - 3:15pm

Getting Started with Shiny

 

Date: Wednesday, January 30
Time: 3:10 pm -- 4:00 pm
Place: Snedecor 2113
Speaker: Carson Sievert, Department of Statistics, ISU

Abstract:

Data-driven web applications are quickly gaining traction as a reliable vehicle for 

ASA Data Expo Challenge

Wednesday, January 23, 2013 - 3:15pm

ASA Data Expo Challenge

 

Date: Wednesday, January 23
Time: 3:10 am -- 4:00 pm
Place: 2113 Snedecor
Speaker: Heike Hofmann, Department of Statistics, Iowa State U

Abstract:

Welcome to Spring Semester Statistical Graphics Group Meeting

 

Resolving Isoform Expression using Digital Gene Expression Data

Monday, April 26, 2010 - 4:15pm

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

Antedependence models for longitudinal data

Monday, April 12, 2010 - 4:15pm
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

Abstract: