1. Genome-wide iterative fine-mapping, CMStatistics 2024, London, United Kingdom, December 2024.

  2. Bayesian genome-wide iterative fine-mapping, 7th Latin-American Meeting on Bayesian Statistics, Belo Horizonte, Brazil, December 2024.

  3. Bayesian genome-wide iterative fine-mapping, StatSci Research Alumni Symposium, Duke University, Durham, NC, November 2024.

  4. Iterative Bayesian Analysis of GLMMs for Non Gaussian GWAS Data, CMStatistics 2023, Berlin, Germany, December 2023.

  5. Bayesian Dynamic ICAR Factor Models for Spatiotemporal Data, Joint Statistical Meetings, Toronto, Canada, August 2023.

  6. Bayesian analysis of GLMMs with nonlocal priors for genome-wide association studies, CMStatistics 2022, London, United Kingdom, December 2022.

  7. Bayesian analysis of GLMMs with nonlocal priors for genome-wide association studies, International Conference on Advances in Interdisciplinary Statistics and Combinatorics -- AISC 2022, Greensboro, NC, October 2022.

  8. Invited Discussion on "Model uncertainty quantification in presence of missing data," by Castellanos et al., OBayes 2022, Santa Cruz, CA, September 2022.

  9. Bayesian analysis of GLMMs with nonlocal priors for genome-wide association studies, 2022 World Meeting of the International Society for Bayesian Analysis (ISBA 2022), Montreal, Canada, June 2022.

  10. Bayesian Multivariate Time Series Analysis for Environmental Science and Neuroscience (Invited short course), 2022 World Meeting of the International Society for Bayesian Analysis (ISBA 2022), Montreal, Canada, June 2022.

  11. Objective Bayesian model selection for Gaussian hierarchical models with Besag's ICAR spatial random effects, University of Washington, Seattle, WA, February 2022.

  12. High performance Bayesian computing with applications to spatial/spatiotemporal data analysis and genome wide association studies, SIAM Conference on Parallel Processing for Scientific Computing, Seattle, WA, February 2022.

  13. Objective Bayesian model selection for spatial hierarchical models with intrinsic conditional autoregressive priors, CMStatistics 2021, London, United Kingdom, December 2021.

  14. Novel dynamic multiscale spatiotemporal models for multivariate Gaussian data with applications to stratospheric temperatures, 2021 Meeting of the International Society Bayesian Analysis, July 2021.

  15. Novel dynamic multiscale spatiotemporal models for multivariate Gaussian data with applications to stratospheric temperatures, 2021 International Indian Statistical Association Meeting, Chicago, IL, May 2021.

  16. A novel Bayesian framework for the analysis of GWAS data, CMStatistics 2020, London, United Kingdom, December 2020.

  17. Fast and scalable posterior simulation for Gaussian hierarchical models with ICAR spatial random effects, CMStatistics 2019, London, United Kingdom, December 2019.

  18. Bayesian Time Series Analysis and Forecasting (Short course), Joint Statistical Meetings 2019, Denver, CO, August 2019.

  19. Objective Bayesian Analysis for Gaussian Hierarchical Models with ICAR Priors, 44th Spring Lecture Series, Fayetteville, AR, April 2019.

  20. Bayesian Time Series Analysis for Environmental Science and Neuroscience (Invited short course), 2018 World Meeting of the International Society for Bayesian Analysis (ISBA 2018), Edinburg, United Kingdom, June 2018.

  21. Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors, Small Area Estimation: A Celebration of Professor Danny Pfeffermann's 75th Birthday, Shanghai, China, June 2018.

  22. Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors, Brazilian Meeting on Bayesian Statistics (EBEB 2018), Rio de Janeiro, Brazil, March 2018.

  23. On the Formal Specification of Sum-zero Constrained Intrinsic Conditional Autoregressive Models, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil, March 2018.

  24. Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors, OBAYES 2017, Austin, TX, December 2017.

  25. Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors, Annual Kliakhandler Conference, Houghton, MI, August 2017.

  26. Bayesian Time Series Analysis and Forecasting (Short course), Joint Statistical Meetings 2017, Baltimore, MD, August 2017.

  27. Dynamic Multiscale Spatiotemporal Models for Poisson data, ISBIS 2017, Yorktown Heights, NY, June 2017.

  28. Dynamic Multiscale Spatiotemporal Models for Poisson data, ENAR 2017, Washington, DC, March 2017.

  29. Scale Mixtures of Nonlocal Priors for Variable Selection in Generalized Linear Models (Presenter: Ho-Hsiang Wu), ICOSDA 2016, Niagara Falls, Canada, October 2016.

  30. Objective Bayesian Analysis for Gaussian Improper CAR Models (Presenter: Matthew Keefe), ICOSDA 2016, Niagara Falls, Canada, October 2016.

  31. Dynamic multiscale spatiotemporal models for Poisson data: Spatiotemporal dependence structure, 60th World Statistics Congress, Rio de Janeiro, Brazil, July 2015.

  32. Dynamic multiscale spatiotemporal models for Poisson processes, 10th Conference on Bayesian Nonparametrics, Raleigh, NC, June 2015.

  33. Objective Bayes analysis for Gaussian dynamic linear models, OBAYES 2015, Valencia, Spain, June 2015.

  34. Dynamic multiscale spatiotemporal models for Gaussian and Poisson processes, Workshop on Big Data in Environmental Science, Vancouver, Canada, May 2015.

  35. Dynamic multiscale spatiotemporal models for Poisson data, G70: A Celebration of Alan Gelfand’s 70th Birthday, Durham, NC, April 2015.

  36. An analysis of functional MRI with a three components hemodynamic response function, XIV Regression Models Meeting, Campinas, SP, Brazil, March 2015.

  37. Dynamic multiscale spatiotemporal models for Poisson data (Presenter: T.C.O. Fonseca), JSM 2014, Boston, MA, August 2014.

  38. An analysis of functional MRI with a three components hemodynamic response function, JSM 2014, Boston, MA, August 2014.

  39. Bayesian Reference Analysis for Exponential Power Regression Models, ISBIS 2014 and SLDM Meeting, Durham, NC, June 2014.

  40. Looking at the world at multiple scales of resolution, Interdisciplinary Modeling Group, University of Missouri, Columbia, MO, April 2014.

  41. Bayesian Reference Analysis for Exponential Power Regression Models, University of Missouri, Columbia, MO, April 2014.

  42. Bayesian Multiscale Analysis for fMRI Datasets, International Conference in Honor of H.N. Nagaraja, Dallas, TX, March 2014.

  43. Multiscale Spatiotemporal Modeling, University of Virginia, Charlottesville, VA, February 2014.

  44. Multiscale Spatiotemporal Modeling, Virginia Tech, Blacksburg, VA, February 2014.

  45. Invited discussion in Session ``Applications in Econometrics and Finance'', Bayes 250, Durham, NC, December 2013.

  46. Bayesian reference analysis for exponential power regression models, Bayes 250, Durham, NC, December 2013.

  47. Dynamic multiscale spatiotemporal models for Poisson data, Washington University, Saint Louis, MO, November 2013.

  48. Dynamic multiscale spatiotemporal models for Poisson data, Virginia Tech, Blacksburg, VA, November 2013.

  49. Looking at the world at multiple scales of resolution, Truman State University, Kirksville, MO, November 2013.

  50. Bayesian Analysis for Exponential Power Regression Models, International Conference on Statistical Distributions and Applications -- ICOSDA 2013, Mount Pleasant, MI, October 2013.

  51. Dynamic multiscale spatiotemporal models for Poisson data, SAMSI Program on Statistical and Computational Methodology for Massive Datasets -- Transition Workshop, Research Triangle Park, NC, May 2013.

  52. Bayesian Hierarchical Multi-subject Multiscale Analysis of Functional MRI Data, International Workshop on Bayes Model Selection, Shanghai, China, January 2013.

  53. Bayesian Hierarchical Multi-subject Multiscale Analysis of Functional MRI Data, Penn State University, October 2012.

  54. Looking at the World at Multiple Scales of Resolution, SAMSI Undergraduate Workshop, Durham, North Carolina, October 2012.

  55. Multiscale Spatio-Temporal Models for Gaussian Areal Data, 25th Anniversary Celebration of the Department of Statistical Science at Duke University, October 2012.

  56. Bayesian Hierarchical Multi-subject Multiscale Analysis of Functional MRI Data, University of North Carolina, October 2012.

  57. Evolutionary Markov chain Monte Carlo for Bayesian optimal sequential design, Cedars-Sinai Medical Center, September 2012.

  58. Evolutionary Markov chain Monte Carlo algorithms for Bayesian optimal sequential design, Joint Statistical Meetings 2012, San Diego, California, August 2012.

  59. Bayesian Hierarchical Multi-subject Multiscale Analysis of Functional MRI Data, ISBA 2012 Meeting, Kyoto, Japan, June, 2012.

  60. Multiscale Spatio-Temporal Models for Gaussian Areal Data, Seminar on Bayesian Inference in Econometrics and Statistics, Santa Cruz, California, April 2012.

  61. Bayesian optimal sequential design for nonparametric regression, XI Brazilian Meeting on Bayesian Statistics, Amparo, Brazil, March 2012.

  62. Multiscale Spatio-Temporal Models for Gaussian Areal Data, George Washington University, Washington D. C., March 2012.

  63. Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data, Seventh Workshop on Bayesian Inference In Stochastic Processes, Madrid, Spain, September 2011.

  64. Bayesian optimal sequential design for nonparametric regression, Joint Statistical Meetings 2011, Miami, Florida, August 2011.

  65. Objective Bayesian Analysis for Exponential Power Regression Models, OBAYES 2011, Shanghai, China, June 2011.

  66. Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data, Federal University of Rio de Janeiro, Brazil, May 2011.

  67. Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data, 4th Lehmann Symposium, Houston, Texas, May 2011.

  68. Objective Bayesian Analysis for Exponential Power Regression Models, Seminar on Bayesian Inference in Econometrics and Statistics, St. Louis, Missouri, April 2011.

  69. Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data, University of Minnesota, February 2011.

  70. Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data, SAMSI Spatial Transition Workshop, Durham, NC, October 2010.

  71. Hierarchical Multiscale Analysis of Functional MRI Data, Joint Statistical Meetings 2010, Vancouver, Canada, August 2010.

  72. Dynamic Multiscale Spatio-Temporal Models for Areal Data, Ninth Valencia International Meeting on Bayesian Statistics, Benidorm, Spain, June 2010.

  73. Invited Discussion on Characterizing Uncertainty of Future Climate Change Projections Using Hierarchical Bayesian Models by Tebaldi, Smith and Sanso, Ninth Valencia International Meeting on Bayesian Statistics, Benidorm, Spain, June 2010.

  74. Dynamic Multiscale Spatio-Temporal Models for Areal Data, Duke University, April 2010.

  75. Spatio-temporal models for Gaussian areal data, X Brazilian Meeting on Bayesian Statistics, Angra dos Reis, Brazil, March 2010.

  76. Objective Bayesian Analysis for Exponential Power Regression Models, University of Chicago, October 2009.

  77. Evolutionary Markov Chain Monte Carlo Algorithms for Expected Utility Maximization, Design and Analysis of Experiments 2009, Columbia, MO, October 2009.

  78. Bayesian Multiscale Multiple Imputation with Implications to Data Confidentiality, Joint Statistical Meetings 2009, Washington D.C., August 2009.

  79. Analysis of Economic Data With Multiscale Spatio-temporal Models, The R User Conference 2009, Rennes, France, July 2009.

  80. Bayesian Analysis of Continuous-Time Markov Chains, 2009 International Workshop on Objective Bayes Methodology, Philadelphia, USA, June 2009.

  81. Analysis of Economic Data with Multiscale Spatio-Temporal Models, Seminar on Bayesian Inference in Econometrics and Statistics, St. Louis, Missouri, May 2009.

  82. Dynamic Bayesian Multiscale Modeling, Iowa State University, April 2009.

  83. Dynamic Bayesian Multiscale Modeling, University of Connecticut, Storrs, November 2008.

  84. Gaussian multiscale spatio-temporal models, M. D. Anderson Cancer Center, Houston, October 2008.

  85. Gaussian multiscale spatio-temporal models, Federal University of Rio de Janeiro, Brazil, August 2008.

  86. Gaussian multiscale spatio-temporal models, Joint Statistical Meetings 2008, Denver, Colorado, August 2008.

  87. Gaussian multiscale spatio-temporal models, 2008 International Indian Statistical Association Meeting, Storrs, Connecticut, May 2008.

  88. Gaussian multiscale spatio-temporal models, 2008 Spring Research Conference on Statistics in Research and Technology, Atlanta, May 2008.

  89. Spatio-temporal models for Gaussian areal data, Division of Biostatistics, Washington University, St Louis, February 2008.

  90. Evolutionary Markov Chain Monte Carlo for optimal monitoring network designs, Environmental Sensor Networks Workshop, RTP, North Carolina, January 2008.

  91. Evolutionary Markov Chain Monte Carlo for Expected Utility Maximization, Joint Statistical Meetings 2007, Salt Lake City, Utah, July August 2007.

  92. Bayesian Analysis of Continuous-Time Markov Chains, Workshop on Bayesian Time Series and Econometrics, Rio de Janeiro, Brazil, July 2007.

  93. Objective Bayesian analysis for the Student-t regression model, VI International Workshop on Objective Bayes Methodology, Rome, Italy, June 2007.

  94. Evolutionary Markov Chain Monte Carlo for Expected Utility Maximization, Fifth Workshop on Bayesian Inference In Stochastic Processes, Valencia, Spain, June 2007.

  95. Objective Bayesian analysis for the Student-t regression model, Seminar on Bayesian Inference in Econometrics and Statistics, St. Louis, Missouri, May 2007.

  96. Bayesian branch support in phylogenetics, Eighth Valencia International Meeting on Bayesian Statistics, Benidorm, Spain, June 2006.

  97. Bayesian multiscale modeling, University of Missouri, Columbia, USA, February 2006.

  98. Spatio-Temporal Models for Areal Data, Workshop on Spatial Statistics and Computationally Intensive Methods, Curitiba, Brazil, October 2005.

  99. Bayesian Multiscale Modeling, Second Latin American Conference on Bayesian Statistics, Los Cabos, Mexico, February 2005.

  100. Bayesian reference analysis for the generalized hyperbolic distribution, Graduate School of Business, University of Chicago, December 2004.

  101. Bayesian analysis for a class of Gaussian Markov random Fields, ISBA 2004, Vina del Mar, Chile, May 2004.

  102. Objective Bayesian analysis for proper Gaussian Markov random fields, Fourth International Workshop on Objective Prior Methodology, Aussois, France, June 2003.

  103. Bayesian inference for proper Gaussian Markov random fields, SAMSI/GSP Workshop on Spatio-temporal Modeling, Boulder, USA, June 2003.

  104. Bayesian multiscale modeling, 8a Escola de Modelos de Regressao, Conservatoria, Brasil, February 2003.

  105. A new class of multiscale random fields with applications to the estimation of permeability fields, Workshop on Multi-Scale Modeling, Durham, USA, February 2003.

  106. Bayesian multi-scale modelling, Seventh Valencia International Meeting on Bayesian Statistics, Tenerife, Spain, June 2002.

  107. A class of multi-scale time series models, I Bayesian Latin American Conference, Ubatuba, Brasil, February 2002.

  108. Multi-scale Modeling of 1-D Permeability Fields, Sixth Workshop on Case Studies in Bayesian Statistics Pittsburgh, Pennsylvania, September 2001.

  109. A class of multi-scale time series models, Joint Statistical Meetings 2001, Georgia, USA, August 2001.

  110. Bayesian inference in a new class of multiscale time series models, Second Workshop on Bayesian Inference In Stochastic Processes, Varenna (LC), Italy, May June 2001.

  111. Multiscale autoregressions and Markov random fields, International Society for Bayesian Analysis - 6th World Meeting, Creete - Greece, May 2000.