Fall, 2012 seminars and discussions

• November 15 -Elizabeth Mannshardt- ecmannsh @ ncsu.edu
  North Carolina State University
  Statistical Modeling of Extreme Value Behavior in North American Tree-ring Density Series
• October 25 -David Dunson- dunson @ stat.duke.edu
  Duke University
  Nonparametric Bayesian Learning from Big Data
• September 20 -A Sampler of Graduate Students
  NC State University
  
  • Sayantan Banerjee: Fast Bayesian Model Assessment for Nonparametric Additive Regression
  • Laura Boehm: Bridging Conditional and Marginal Inference for Spatially-referenced Binary Data
  • Liwei Wang: A Flexible Class of Models for Longitudinal Data Subject to Data Irregularities
• August 30 -Howard Bondell- hdbondel @ ncsu.edu
  NC State University
  Consistent High-dimensional Bayesian Variable Selection via Penalized Credible Regions



Spring, 2012 seminars and discussions

• April 12 - Kshitij Khare
  University of Florida
  Improving the DA algorithm



Fall, 2011 seminars and discussions

• November 10 - Souparno Ghosh -  sg147@stat.duke.edu
  Duke University
  Inference for Size Demography from Point Pattern Data using Integral Projection Models

• October 20 - Artin Armagan -  artin@stat.duke.edu
  Duke University
  Generalized Beta Mixtures of Gaussians

• September 22 - Sujit Sahu -  s.k.sahu@soton.ac.uk
  University of SouthHampton, UK & Duke University
  High Resolution Bayesian Space-Time Modelling for Ozone Concentration Levels

• September 01 - Eric reyes -  emreyes@ncsu.edu
  Affiliation: NC State University
  Bayesian Average Error Based Approach to Sample Size Calculations for Hypothesis Testing (with instruction on creating an R package)

  

  Spring, 2010 seminars and discussions

• April 29 -Jiezhun (Sherry) Gu - sherrygu2001@yahoo.com
  Duke Clinical Research Institute
  Bayesian ROC curve estimation with partial gold standard

• April 6 -Peter Green - P.J.Green@bristol.ac.uk
  University of Bristol, UK
  Markov modelling in genome-wide association studies

• March 11 -Emily Kang - lei@samsi.info
  SAMSI, RTP
  Bayesian Inference for the Spatial Random Effects Model

• February 25 -Dongchu Sun - sund@missouri.edu
  University of Missouri
  The Formal Definition of Reference Priors

  

  Fall, 2009 seminars and discussions

• November 19 -Sudipto Banerjee - baner009@umn.edu
  University of Minnesota
  Hierarchical spatial models for predicting forest variables over large heterogeneous domains

• November 5 -Murali Haran - mharan@stat.psu.edu
  Penn State University
  Towards Automated MCMC Algorithms for a Class of Spatial Models

• October 22 -Brian Reich - reich@stat.ncsu.edu
  NC State University
  Bayesian spatial quantile regression

• September 24 -Scott Holan - holans@missouri.edu
  University of Missouri @ Columbia
  Bayesian Multiscale Multiple Imputation with Implications for Data Confidentiality

  

  Spring, 2009 seminars and discussions

  No activities due to recruitment seminars

  

  Fall, 2008 seminars and discussions

• November 25 -John White - John.White@sas.com
  North Carolina State University
  A Bayesian Multi-Scale Model for Smoothing Images using the Chinese Restaurant Process

• November 18 -Hedibert Lopes - Hedibert.Lopes@chicagogsb.edu
  University of Chicago
  Particle Learning and Smoothing

• October 28 -Student Sampler - tba
  North Carolina State University
  

• October 21 -Jayaram Sethuraman - sethu@ani.stat.fsu.edu
  Florida State University
  Partition based priors to analyze data arising from failure models and censoring models

• October 14 -Jaya Bishwal - J.Bishwal@uncc.edu
  University of North Carolina, Charlotte (SAMSI)
  Bernstein-von Mises Theorem for Stochastic Partial Differential Equations

• September 30 -Sourish Das - sourish.das@gmail.com
  SAMSI (Duke University)
  Analysis of 5 Loxin Treatment for Patients with Osteoarthritis in Clinical Trial using Power Filter

• September 23 -Sayan Mukherjee - sayan@stat.duke.edu
  Duke University
  Non-parametric Bayesian simultaneous dimension reduction and regression on manifolds

  

  Spring, 2008 seminars and discussions

  No activities due to recruitment seminars

  

  Fall, 2007 seminars and discussions

• November 27 -John Monahan - monahan@stat.ncsu.edu
  North Carolina State University
  Elliptically Symmetric Families for Bayesian Analysis of Generalized Linear Models

• November 13 -Scott Schmidler - schmidler@stat.duke.edu
  Duke University
  Bayesian Methods in Structural Bioinformatics and Biophysics

• October 30 -Steven Kathman - steven.j.kathman@gsk.com
  GlaxoSmithKline
  Bayesian Population Pharmacokinetic/Pharmacodynamic Analysis

• October 16 -Emily Griffith - eghohmei@ncsu.edu
  NC State University
  Catch Curve and Capture Recapture Models: A Bayesian Combined Approach

• October 2 -Student Seminars: NSCU-SSM - akrishn@stat.ncsu.edu
  NC State University
  

• September 20 -Myron Katzoff* - mjk5@cdc.gov (Note change in time and place)
  Center for Disease Control (NCHS)
  Bayesian inference for a stratified categorical variable allowing all possible category choices
  *This is will be special seminar at 1:00-2:00 in PT 206 Hall

• September 18 -John Aston - jaston@stat.sinica.edu.tw
  Institute of Statistical Science, Academia Sinica
  Change-point Distributions in Hidden Markov Models

  

  Spring, 2007 seminars and discussions

• April 25 -Honggie Kim - hkim@stat.ncsu.edu
  Chungnam National University - Daejeon, Republic of Korea
  Semiparametric Inference Based on a Class of Zero-Altered Distributions

• April 18 -Dhruv Sharma - dbsharma@stat.ncsu.edu
  NC State University
  A Decision Theoretic Approach to the Variable Selection Problem

• April 4 -Yeonseung Chung - chungy@email.unc.edu
  University of North Carolina - Chapel Hill
  The Local Dirichlet Process

• March 21 -Lexin Li - li@stat.ncsu.edu
  North Carolina State University
  Regularized Sufficient Dimension Reduction and Variable Selection

• January 25 -Thomas Santner - tjs@stat.ohio-state.edu
  Ohio State University
  Designing Computer Experiments to Determine Robust Control Variables
  This is a joint Biostatistics/BSWG seminar

  

  Fall, 2006 seminars and discussions

• November 28 -Helen Zhang - hzhang@stat.ncsu.edu
  NC State University
  Soft-thresholding Penalties for Variable Selection

• November 14 -Grzegorz Rempala - g.rempala@louisville.edu
  University of Louisville
  Estimating reaction constants in stochastic intracellular networks
  (note change of time to 3:30pm)

• October 31 -Ming Yuan - myuan@isye.gatech.edu
  Georgia Tech University
  Model Selection and Estimation in the Gaussian Graphical Model

• October 17 -Subhashis Ghosal - sghosal@stat.ncsu.edu
  NC State University
  Convergence rate of Bayesian variable selection in GLMs with number of terms K>>n under sparseness

• October 3 -Sujit Ghosh - ghosh@stat.ncsu.edu
  NC State University
  Prior Distributions for the Variable Selection Problem

• September 19 -Brian Reich - reich@stat.ncsu.edu
  NC State University
  A Review of Bayesian Variable Selection Methods

  

  Spring, 2006 seminars and discussions

• April 4 -Malay Ghosh - ghoshm@stat.ufl.edu
  University of Florida
  Gene Expression-Based Glioma Classification Using Hierarchical Bayesian Vector Machines

  

  Fall, 2005 seminars and discussions

• November 29 -Fabrizio Ruggeri - fabrizio@mi.imati.cnr.it
  Consiglio Nazionale delle Ricerche, IMATI, Italy
  Bayesian inference for functional response in a stochastic predator-prey system

• November 8 -Hrishikesh Chakraborty - hchakraborty@rti.org
  Research Traingle Institute
  Bivariate Random Effect Models -- A Frequentist and Bayesian Approaches to Evaluate Relationship

• October 25 -Amy Herring - aherring@bios.unc.edu
  University of North Carolina
  What Stressors Really Matter? Modeling the Effects of a Bi-Directional Latent Predictor from Multivariate Questionnaire Data

• October 11 -Stella Karuri - karuri@stat.ncsu.edu
  North Carolina State University
  Integration using Bayesian Quadrature

• September 27 -Liansheng Zhu - lzhu@stat.ncsu.edu
  North Carolina State University
  Analyzing Longitudinal Discrete Data with Nonignorable Missing

• September 13 -Lovely Goyal - lgoyal@stat.ncsu.edu
  North Carolina State University
  Bayesian Inference for Nonlinear Mixed Effects Models involving Ordinary Differential Equations

• August 30 -Changku Kang - ckang2@stat.ncsu.edu
  North Carolina State University
  Regression via clustering using Dirichlet mixtures

• August 30 - November 29, 2005: Discussion Sessions
  2nd and 4th Tuesdays of the month at 4:00-5:00, 208 Patterson Hall
  Topic: Bayesian methods in biomedical sciences
  Lead discussants: TBA

  

  Spring, 2005 seminars and discussions

  No activities due to recruitment seminars

  

  Fall, 2004 seminars and discussions

• August 24 - December 5, 2004: Discussion Sessions
  2nd and 4th Tuesdays of the month at 4:00-5:00, 208 Patterson Hall
  Topic: Bayesian methods for function estimation
  Lead discussants: Sujit Ghosh, B. Bhattacharyya and Helen Zhang

• September 21 -Bibhuti Bhattacharyya - bhattach@stat.ncsu.edu
  North Carolina State University
  Splines and its application in Bayesian regression

• September 28 -Bertrand Clarke - riffraff@stat.ubc.ca
  Duke University/University of British Columbia
  Sample Size and Effective Samples

• October 12, 19 and November 2 -Helen Zhang - hzhang2@stat.ncsu.edu
  North Carolina State University
  Generalized smoothing spline for Bayesian estimation with a partially improper prior

• November 9 -Sujay Datta - sdatta@nmu.edu
  Northern Michigan University
  Some examples of applications of Bayesian methodology in bio-medical sciences

  

  Spring, 2004 seminars and discussions

• January 15 - April 15, 2004: Discussion Sessions
  Alternate Tuesdays at 4:00-5:00, 007 Patterson Hall
  Topic: Nonparameteric prior construction
  Lead discussants: Subhashis Ghosal, Sujit Ghosh and John Monahan

• February 12 -Sonia Petrone - sonia.petrone@uni-bocconi.it
  Universita' Bocconi, Milano, Italy.
  Dynamic polynomial regression models for the term structure of interest rates.

For additional information, please e-mail the Seminar Chair: Sujit Ghosh