Full Courses

• Stat 454 - Sampling Theory and Practice: W18
• Stat 441 - Statistical Learning - Classification: F16, W19, W20, W21, W22, W24
• Stat 431 - Generalized Linear Models: S14, W15, S15, F16, W18
• Stat 372 - Business II: Sampling and Experimental Design: S18
• Stat 371 - Business I: Linear Regression with a module on Quality Control: F11, F12, F17, W19, S19, W21, F21, W22, F23, W24
• Stat 332 - Sampling and Experimental Design: F13
• Stat 231 - Introduction to Statistics: F11, F12, F13
• Applied Data Analysis, Carnegie Mellon U, Dep of Engineering and Public Policy: W09, W11

Short Courses

• [2019] Text mining applied to open-ended questions, European Survey Research Conference, Zagreb, Croatia
• [2017] Text mining applied to open-ended questions, European Survey Research Conference, Lisbon, Portugal
• [2015] Statistical Learning for the Social Sciences, European Survey Research Conference, Iceland.
• [2013] Respondent Driven Sampling, Sydney, Australia
• [2012] Respondent Driven Sampling, "Survey Methods for Hard to Reach Populations" conference, New Orleans
• [2010] Respondent Driven Sampling, RAND corporation, Santa Monica