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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.  Read more about Baker Center Seminar Series on SARS-CoV2/COVID-19 - Laura Miller

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

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

Improving "*-Seq" -- Applications in Protein-Protein Interactions, Repertoire Sequencing, Allotetraploid Genotyping, and Clustering High-Dimensional Data - Karin Dorman

Monday, October 19, 2020 - 11:00am

Speaker:  Dr. Karin Dorman

Iowa State University, Department of Statistics

Improving "*-Seq" -- Applications in Protein-Protein Interactions, Repertoire Sequencing, Allotetraploid Genotyping, and Clustering High-Dimensional Data Read more about Improving "*-Seq" -- Applications in Protein-Protein Interactions, Repertoire Sequencing, Allotetraploid Genotyping, and Clustering High-Dimensional Data - Karin Dorman

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 Read more about Dept. Seminar - ISU Data Mining Cup Project

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. Read more about Welcome Back Seminar - Dan Nettleton

The Right Treatment for the Right Patient at the Right Time: Precision Medicine Through Treatment Regimes, SMARTs, and Statistics

Monday, April 15, 2019 - 4:10pm

Snedecor Memorial Lecture

 

Marie Davidian
J. Stuart Hunter Distinguished Professor of Statistics
North Carolina State University (NCSU)

 

The Right Treatment for the Right Patient at the Right Time: Precision Medicine Through Treatment Regimes, SMARTs, and Statistics Read more about The Right Treatment for the Right Patient at the Right Time: Precision Medicine Through Treatment Regimes, SMARTs, and Statistics

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. Read more about Dept. Seminar - Kris De Brabanter

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.

  Read more about Statistics Opening Seminar

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- Read more about Dept. Seminar - Abolfazl Safikhani

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.  Read more about Dept. Seminar - Lan Xue

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 Read more about Dept. Seminar - Zongwu Cai

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.  Read more about Dept. Seminar - Yimin Xiao

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:

Read more about Statistics Seminar Series on Data Science - Tim Hesterberg

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. Read more about Dept. Seminar - Max Morris

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.  Read more about Dept. Seminar - John Sall, JMP

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.  Read more about Dept. Seminar - Marina Vannucci

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. Read more about Dept. Seminar - David Miller

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 Read more about Hongyuan Cao, Dept. Seminar

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 Read more about Lan Zhu, Dept. Seminar

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. Read more about Statistics Opening Seminar, Max Morris

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. Read more about Guillermo Basulto-Elias, Computation of kernel deconvolution density estimators

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.  Read more about Efficient Computing Workflow Group

Design and Analysis of Definitive Screening Experiments (Zyskind Memorial Lecture)

Monday, October 19, 2015 - 4:15pm to Monday, December 21, 2015 - 2:30pm

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)

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.

  Read more about Finance Paper Discussions

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 Read more about Hidden Markov Random Fields: Spatial Random Effects for Lattice Data

Relating Self-report and Accelerometer Physical Activity with Application to NHANES 2003-2004

Tuesday, September 15, 2015 - 3:15pm

Relating Self-report and Accelerometer Physical Activity with Application to NHANES 2003-2004

 

Date: Monday, September 15
Time: 3:10 pm -- 4:00 pm
Place: Carver 298
Speaker: Nicholas Beyler

Abstract:

Nicholas Beyler (presenting), Sarah Nusser, Wayne Fuller, Gregory Welk

Iowa State University

 

Abstract: Read more about Relating Self-report and Accelerometer Physical Activity with Application to NHANES 2003-2004

Local Structure Graph Models, Parameter Centering & Higher-Order Dependence Date: Thursday, July 31 Time: 2:00 pm -- 3:00 pm Place: 2113 Snedecor Hall Speaker: Emily Casleton Abstract: This talk describes a new class of models for random graphs or network

Friday, July 18, 2014 - 10:00am

Explorations of the lineup protocol for visual inference: application to high dimension, low sample size problems and metrics to assess the quality

  Read more about Local Structure Graph Models, Parameter Centering & Higher-Order Dependence Date: Thursday, July 31 Time: 2:00 pm -- 3:00 pm Place: 2113 Snedecor Hall Speaker: Emily Casleton Abstract: This talk describes a new class of models for random graphs or network

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.  

Read more about Total Survey Error>

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  Read more about Getting Started with Shiny

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

  Read more about ASA Data Expo Challenge

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 Read more about Resolving Isoform Expression using Digital Gene Expression Data