November 18, 2014

What do statisticians do all day?

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As usual about this time of year, our Honours and M.Sc. students are giving talks on their research projects

  • Modelling the natural inflows to New Zealand lakes
  • Refactoring the xtable package
  • Invertible reproducible documents
  • Bootstrap goodness of fit tests
  • Convex regression
  • Using the Robust Covariance Matrix Estimator to improve the precision of principal component eigenvectors in the orthogonal multivariate test
  • Orthogonalised multivariate survey-weighted linear models for medical data
  • Factors affecting catch composition in NZ scampi fisheries
  • Factors affecting tagging mortality in snapper
  • Assessment of rapid eradication assessment
  • Factors explaining the low income return for education among Asian New Zealanders
  • A comparison of methods used to reconcile forecasts in hierarchical time series
  • Numerical methods for drawing piecewise smooth curves
  • An evaluation of the Christian Broadcasting Association’s Appeal and Donorcom campaigns
  • Multi-choice and true/false assessments in introductory statistics: What can they tell us about student understanding?
  • Bayesian computation for exoplanet data
  • Modelling an Ophthalmology Clinic Booking List System: Assumptions and Implementation
  • Reinforcement Processes on Graphs
  • Influence analysis on phylogeny inference
  • Statistical analysis of chemical soil composition in the Wairau Valley
  • Describing the world’s nations
  • Parameter estimation of the coalescent in continuous space
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Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »