Only talks since 2001 are listed.
Papers for many of these talks are available online.
(pdf) | Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments | SSC Annual Meeting, May 30, 2022 |
(pdf) | Simulation Studies for Statistical Procedures: Why Can't We Practice What We Preach? | WLU & McMaster, April 2021 |
(pdf) | Why Most Published Research Findings Are False | AARMS Kitchen Party, August 6, 2020 |
(pdf) | A hierarchical state-space approach for modeling population indices data | SSC annual meeting, Calgary, May 29, 2019 |
(pdf) | Panel discussion on tenure and promotion | SSC annual meeting, Calgary, May 28, 2019 |
(pdf) (pdf) |
An overview of statistical learning (version including deep learning; 2nd pdf longer) | Rendez-Vous 3, SSO, Sep 22, 2017 AARMS workshop, Oct 15, 2017 |
(pdf) | An overview of statistical learning | Fields Lecture, Science Atlantic MSCS Conference, CBU, October 15, 2016 |
(pdf) | Dispersion Modelling with an Ensemble of Trees | SSC Annual Conference, St. Catherines, May 30. 2016. JSM, Chicago, Aug 1, 2016. Spring Research Conference, May 17,2017. |
(pdf) | Doing more with less: Statistical planning of experimental studies | Acadia University Math Society Seminar (November 13, 2015) |
(pdf) | Panel discussion on education for big data analytics | Closing Conference of Big Data Thematic Program, Dalhousie (June 13, 2015) |
(pdf) | Statistical and Computational Challenges in Networks and Cybersecurity | Closing Conference of Big Data Thematic Program, Dalhousie (June 12, 2015) |
(pdf) | Simulation Studies for Statistical Procedures: Why Can't We Practice What We Preach? | SSC Annual Conference, Dalhousie (June 15, 2015) |
(pdf) | A Statistical Pocket Knife: Generalizing and Extending Ensemble Models | Harvard Statistics Seminar (April 13, 2015) |
(pdf) | (video) | An overview of statistical learning | Opening conference and boot camp, Thematic Program on Statistical Inference, Learning, and Models for Big Data, Fields Institute (Jan 12, 2015), and ICES (Jan 27, 2015) |
(website) | Statistical Learning with Big Data | AARMS Summer School, co-taught with Sunny Wang, July 21-Aug 15, 2014 |
(pdf) | Bayes for model search and representing uncertainty | Building Statistical Methodology and Theory 2014" a conference in honor of Jeff Wu's 65th Birthday Mile, China, July 8, 2014. |
(pdf) | Statistical Learning for Networks | AARMS CRG meeting, MSVU, June 16 2014 |
(pdf) | Google search and other network problems - the role of randomness | Acadia Mathematics and Statistics Undergraduate Seminar Series, January 17, 2014 Acadia University |
(pdf) | Ensemble Learning for Big Data | Joint Statistical Meetings, August 4, 2013, Montreal, Conference on Data Analysis, Santa Fe NM March 6, 2014, and Statistical Society of Canada, May 26, 2014. |
(pdf) | Sequential Optimization of a Computer Model and other �Active Learning� problems | CRM-SIM-GERAD colloquium, UQAM, March 9, 2012 ISyE, Georgia Tech, March 29, 2012 UQ 2012 Conference, Raleigh, NC, April 2, 2012 |
(pdf) | Better Statistical Learning via Sequential Design or ``Active Learning'' | Mary Thompson Conference, October 29, 2011 |
(pdf) | Sequential optimization of a computer model: what's so special about Gaussian processes anyway? | Spring Research Conference, June 22, 2011 |
(pdf) | "Discovering Regression Structure with a Bayesian Ensemble" | Dalhousie University, March 10, 2011 |
(pdf) | "Mining transactional network data" | Los Alamos, New Mexico, January 26, 2011 |
(pdf) | "Knowledge Discovery in Network Data" | Carleton University, October 30, 2010 |
(pdf) | Discussion of session on Dynamic Networks | SAMSI, August 31, 2010 |
(pdf) | Discussion of "Nonparametric Profile Monitoring by Mixed Effects Modeling" | Joint Statistical Meetings, August 3, 2010 |
(pdf) | Sequential optimization of a computer model: what's so special about Gaussian processes anyway? | Statistical Society of Canada, May 26, 2010 INFORMS, Austin Tx, Nov 9 |
(pdf) | Math and networks | 15 min talk at Acadia Huggins Science Seminar, May 6, 2010 |
(pdf) | (pdf, with annotations) | Data Mining | 1-day workshop at Statistical Society of Ottawa, April 19, 2010 |
(pdf) | Mining Transactional Network Data | Statistical Society of Ottawa, April 20, 2010 Workshop on "Challenging problems in Statistical Learning", Paris, January 28, 2010 Simon Fraser Dept. of Statistics & ActSci, February 12, 2010 Dalhousie School of Computer Science, February 18, 2010 |
(pdf) | Feature Selection with a Bayesian Ensemble Model | Fall Technical Conference, Indiannapolis, IN, October 8, 2009 |
(pdf) | Discussion of presentations by Jeremy Oakley and Brian Reich | Joint Statistical Meetings, Washington DC, August 4, 2009 |
(pdf) | Variable Selection via a Bayesian Ensemble | Joint Statistical Meetings, Washington DC, August 4, 2009 |
(pdf) | Statistical learning for networks | Spring Research Conference, Burnaby, BC, May 29, 2009 |
(pdf) | Statistical learning with trees (CRM-SSC lecture) | SSC Annual Meeting, Vancouver, BC, June 3, 2009 |
(pdf) | Modelling Networks: Google, Social Networks, and Beyond | Acadia Math and Stat Seminar, Feb 6, 2009 |
(pdf) | Variable selection via a Bayesian ensemble | Joint Statistical meetings, August 7, 2008 |
(pdf) | Supervised learning for graph-structured data | UBC Statistics department, June 27, 2008. |
(pdf) | Supervised classification for graph-structured data, using latent social networks | MITACS/MASCOS Joint Workshop on Fusion, Mining and Security for Networks, June 19, 2008. |
(pdf) | Statistical Learning via Bayesian Computation and Other Methods | Bluenose Numerical Analysis Day, June 13, 2008, Dalhousie University. |
(pdf) (ppt) | Tips for preparing an NSERC Discovery Grant | SSC annual meeting, Ottawa, May 26, 2008 |
(pdf) | Mining Network Data | Poster at SSC annual meeting, Ottawa, May 28/2008 |
(pdf) | Statistical learning from complex data | University of Waterloo, March 19, 2008. |
(pdf) | Supervised learning via Bayesian Computation | Coast to Coast Mathematics Seminar, November 6, 2007 |
(pdf) | Statistical learning and virtual screening in drug discovery | McGill University, October 24, 2007 |
(pdf) | Bayesian Ensemble Active Learning | Joint Statistical Meetings, Salt Lake City, August 29, 2007 |
(pdf) | Supervised Learning via Bayesian Computation | Statistical Science: Present position and future prospects, University of Waterloo, May 30, 2007. |
(pdf) | BART; Bayesian Additive Regression Trees | University of Washington, April 16, 2007 |
(pdf) | Learning from data: statistical ideas and algorithms | Acadia Science Cafe, March 5, 2007 |
(pdf) | Monitoring functional data: mixed effects and high-dimensional clustering |
CRM-ISM-Gerad Colloquium de Statistique February 23, 2007 |
Talk:
(pdf) Poster: (pdf) |
Bayesian Ensemble Learning | NIPS 2006, Dec 8, 2006 |
(pdf) | Sequential design for drug discovery | DEMA workshop, Southampton, UK, Sept 9, 2006. Also presented a similar version at AARMS Multivariate analysis workshop, Cape Breton University, October 14, 2006. |
(pdf) | Mining transactional data on networks | CAIMS/MITACS annual meeting, York University, June 19, 2006 |
(R lecture;
html) (R lab 1; html) (Nnet lecture; pdf) (R lab 2;html) |
Introduction to R R lab on statistical learning and resampling methods A neural net example R lab on neural nets |
NPCDS/MITACS/CRM Spring School on Statistical and Machine Learning, University of Montreal, May 23-27, 2007 |
(pdf) |
Bayes 101: An introduction to Bayesian Methods |
Biology Department, Acadia University, April 25, 2006 |
(pdf) | Research in Mathematical Modelling | Acadia CRC event, January 20, 2006. |
(pdf) |
Statistical Modelling in Medical Compliance Problems |
Statistical Consulting Centre workshop on compliance, December 9, 2005 |
(pdf) |
Opportunities in Parallel Statistical Computing |
AARMS workshop, Acadia University, October 23, 2005 Also presented at Fields Workshop on Data Mining closed research session, Sunday November 13, 2005. |
(pdf) |
Pattern Discovery in Massive Social Networks |
SAMSI NDHS workshop, September 14, 2005 |
(pdf) |
Bayesian Additive Regression Trees |
PAMI group, University of Waterloo, April 26, 2005 (see Dalhousie link below for "movies"). |
(html) |
Data analysis using R |
Statistical Consulting Centre workshop, Acadia University. |
(see links below for Dalhousie talk) |
Bayesian Additive Regression Trees (2 hour seminar) |
CIMAT, Mexico, November 29 and December 1. |
Bayesian Additive Regression Trees (2 hour seminar) |
Dalhousie University, November 18, 2004. |
|
Daily discussion |
Generation 5/NPCDS/Fields/SAMSI workshop on data mining methodology and applications, October 29, 2004. |
|
(pdf) |
Data Mining and Statistical Learning |
2004 Acadia Symposium on Modelling and Computation, Oct 4/2004. |
(pdf) |
Interpretability of trees from high-throughput screening data |
2004 JSM, Toronto, August 11, 2004 |
(pdf) |
Discussion on Ensemble Methods |
2004 JSM, Toronto, August 9, 2004 |
Statistical Learning in Drug Discovery |
University of Guelph March 26, 2004. (talk is in 2 parts) |
|
(pdf) |
Some research in data mining |
SAMSI mid-year workshop on data mining and machine learning. Research Triangle Park, NC, Feb 4, 2004. |
(pdf) |
Using Data Mining to Uncover Rare, Valuable Outcomes |
Mitacs Quebec Interchange, Montreal, Nov 13, 2003. |
(pdf) |
Bayesian Additive Regression Trees |
UW AI group, Nov 7, 2003. |
(pdf) |
Bayesian Additive Regression Trees |
Snowbird Workshop, April 1, 2003. |
(pdf) |
Bayesian Additive Regression Trees |
York University Department of Mathematics and Statistics, March 21, 2003. |
(pdf) |
Statistical Learning and Data Mining |
Notes from a roundtable luncheon I gave at the Joint Statistical Meetings, New York, August 13, 2002. |
(pdf) |
Learning Treed Generalized Linear Models |
Joint Statistical Meetings, New York, August 12, 2002. (modified version of Interface, Stanford/Chicago talks below). |
(tech report only) (pdf) |
Optimal Designs for Model Selection |
Valencia International Meetings on Bayesian Statistics, Tenerife, Wednesday June 5, 2002. |
(pdf - 0.6 Mb) |
Hybrid Hierarchical Clustering With Applications To Microarray Data } |
Statistical Society of Canada Annual Meeting Hamilton, ON, May
27, 2002 |
(pdf) |
Mining Functional Process Data |
Spring Research Conference on Statistics in Industry and Technology, Ann Arbor, MI, May 20, 2002 |
(pdf) |
Learning Treed Generalized Linear Models |
Interface meeting, Montreal, April 20, 2002. (modified version of Stanford/Chicago talk below). |
Treed Generalized Linear Models |
Stanford University Department of Statistics, Jan 29, 2002
|
|
(HTML) |
Data Mining Workshop |
SSC/WNAR/IMS, 2001 |
(pdf) |
Statistical methods for high throughput screening data |
MITACS IT-theme meeting, 2001 |
(pdf) |
Regression and Classification With Tree Models: Forests, Hybrids, and Other New Methods. |
University of Michigan, 2001 |
(pdf) |
Monitoring production with immense datasets |
Guest speaker, UW Graduate student seminar day, 2001 |
(pdf) |
Managing Multiple Models |
Joint Statistical Meetings, 2001 |
(pdf) |
Classification and Regression Trees |
ICES, 2001 |