A. Department Seminars:

[17] Default Bayes and prediction problems with global-local shrinkage priors - Department of Biostatistics, University of Louisville, Louisville, KY, September 2017.

[16] Default Bayes and prediction problems with global-local shrinkage priors - Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, February, 2017.

[15] Default Bayes and prediction problems with global-local shrinkage priors - Department of Statistics and Probability, Michigan State University, East Lansing, MI, November 2016. [slides]

[14] Default Bayes and prediction problems with global-local shrinkage priors - Department of Statistics, University of Missouri, Columbia, MO, November 2016.

[13] Default Bayes and prediction problems with global-local shrinkage priors - Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, November 2016.

[12] The horseshoe+ estimator of sparse signals - Department of Statistics, Northwestern University, Evanston, IL, January 2015. [slides]

[11] The horseshoe+ estimator of sparse signals - Department of Statistics, Iowa State University, Ames, IA, November 2014.

[10] High-dimensional joint Bayesian variable and covariance selection: Applications in eQTL analysis and cancer genomics - Department of Statistics, University of Minnesota, Minneapolis, MN, February 2014.

[9] High-dimensional joint Bayesian variable and covariance selection: Applications in eQTL analysis and cancer genomics - Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, January 2014.

[8] High-dimensional joint Bayesian variable and covariance selection: Applications in eQTL analysis and cancer genomics - Department of Biostatistics, University of Louisville, Louisville, KY, September 2013.

[7] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Division of Statistics, Northern Illinois University, DeKalb, IL, March 2013.

[6] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, October 2012. [slides]

[5] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Department of Mathematics, Statistics and Computer Science, The University of Illinois at Chicago, Chicago, IL, September 2012.

[4] Simulation-based maximum likelihood inference for partially observed Markov process models - Department of Statistics, Purdue University, West Lafayette, IN, February 2012. [slides]

[3] Simulation-based maximum likelihood inference for partially observed Markov process models - Department of Statistics, George Washington University, Washington, DC, February 2012.

[2] Simulation-based maximum likelihood inference for partially observed Markov process models - Department of Statistics, Florida State University, Tallahassee, FL, January 2012.

[1] Simulation-based maximum likelihood inference for partially observed Markov process models - Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, January 2012.


B. Other Invited Presentations:

[20] TBA- Invited talk, ASA Conference on Statistical Learning and Data Science/Nonparametric Statistics, New York City, NY, June 2018.

[19] Prediction risk for global-local shrinkage regression- Invited talk, The 10th ICSA International Conference, Shanghai, China, December 2016.

[18] Prediction risk for global-local shrinkage regression- Invited talk, Latent Variables 2016 Conference, Columbia, SC, October 2016.

[17] Prediction risk for global-local shrinkage regression- Topic-contributed talk, Joint Statistical Meetings, Chicago, IL, August 2016.

[16] Prediction risk for global-local shrinkage regression- Invited talk, 2016 ICSA Applied Statistics Symposium, Atlanta, GA, June 2016. [slides]

[15] The horseshoe+ estimator of sparse signals- Young researchers special invited talk (45 minutes), 2015 IISA Conference, Pune, India, December 2015.

[14] Bayesian feature selection in high-dimensional regression in presence of correlated noise- Invited talk, 2014 IISA Conference, Riverside, CA, July 2014. [slides]

[13] Bayesian feature selection in high-dimensional regression in presence of correlated noise- Invited talk, ISBIS & SLDM Meeting, Durham, NC, June 2014.

[12] High-dimensional joint Bayesian variable and covariance selection: Applications in genomics- Invited talk, International Conference in Honor of H. N. Nagaraja, Richardson, TX, March 2014.

[11] Screening strategies for high-dimensional multiple predictor, multiple response data with an application in genomics - Topic-contributed talk, Joint Statistical Meetings, Montréal, QC, August 2013.

[10] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Invited talk, Statistical Bioinformatics Seminar Series, Purdue University, West Lafayette, IN, Februrary 2013.

[9] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Invited talk, Machine Learning and Applications Seminar Series, Purdue University, West Lafayette, IN, October 2012.

[8] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Topic-contributed talk, Joint Statistical Meetings, San Diego, CA, August 2012.

[7] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Invited minisymposium talk, SIAM Conference on the Life Sciences, San Diego, CA, August 2012. [slides with audio recording from SIAM]

[6] Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis - Invited talk, The Third Biennial Workshop on Nutrition, Biostatistics and Bioinformatics, College Station, TX, February 2012.

[5] An adaptive particle allocation scheme for off-line iterated sequential importance sampling based techniques - Invited talk, Yahoo! Research (Machine Learning Division), Santa Clara, CA, June 2011.

[4] An adaptive particle allocation scheme for off-line iterated sequential importance sampling based techniques - Invited talk, 2011 IISA Conference on Probability, Statistics and Data Analysis, Raleigh, NC, April 2011. [slides]

[3] Iterated filtering and its applications in modeling infectious disease dynamics - Invited talk, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, February 2010. [slides]

[2] Iterated filtering and its applications in modeling infectious disease dynamics - Invited talk presented to the research group of Dan Nicolae & Carole Ober, The University of Chicago, Chicago, IL, February 2010.

[1] Malaria transmission: Modeling and inference - Invited talk, Parameter estimation for dynamical systems workshop, EURANDOM, Technische Universiteit Eindhoven, Eindhoven, The Netherlands, June 2009. [slides]


C. Contributed Presentations:

[8] An adaptive particle allocation scheme for off-line iterated sequential importance sampling based techniques - Contributed talk, Joint Statistical Meetings, Miami Beach, FL, August 2011.

[7] Iterated filtering and its applications in modeling infectious disease dynamics - Contributed talk, Joint Statistical Meetings, Vancouver, BC, August 2010. [slides]

[6] Iterated filtering and its applications in modeling malaria transmission in Northwest  India - Contributed poster, Thirteenth IMS Meeting of New Researchers in Statistics and Probability, Vancouver, BC, July 2010.

[5] Iterated filtering and its applications in modeling malaria transmission in Northwest  India - Contributed poster, Third Midwest Statistics Research Colloquium, Chicago, IL, March 2010. [poster]

[4] Malaria transmission dynamics: A formal comparison of rival hypotheses - Contributed talk, Joint Statistical Meetings, Washington, DC, August 2009.

[3] Modeling and analysis of malaria transmission - Contributed poster, SAMSI opening workshop on Sequential Monte Carlo methods, Research Triangle Park, NC, September 2008.

[2] Time series analysis for ecological systems - Contributed poster, Ecology and evolution of infectious diseases PI meeting, Albuquerque, NM, December 2007. [poster]

[1] A study of the dynamics of malaria infection using iterated filtering techniques - Contributed poster, Workshop on the modeling of dynamical systems, Centre de Recherches Mathématiques, Université de Montréal, Montréal, QC, July 2007. [poster]


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