100 most popular pages on Peter's Stats Stuff

  1. Timeseries forecasting using extreme gradient boosting
  2. New Zealand general election forecasts
  3. Error, trend, seasonality - ets and its forecast model friends
  4. Bootstrap and cross-validation for evaluating modelling strategies
  5. Better prediction intervals for time series forecasts
  6. FiveThirtyEight's polling data for the US Presidential election
  7. Books I like
  8. Dual axes time series plots may be ok sometimes after all
  9. Cross-validation of topic modelling
  10. Why you need version control
  11. Exploring propensity score matching and weighting
  12. Sparse matrices, k-means clustering, topic modelling with posts on the 2004 US Presidential election
  13. Skill v luck in determining backgammon winners
  14. R Markdown for documents with logos, watermarks, and corporate styles
  15. Why time series forecasts prediction intervals aren't as good as we'd hope
  16. Dynamic Stochastic General Equilibrium models made (relatively) easy with R
  17. Announcing new forecastHybrid package
  18. Extrapolation is tough for trees!
  19. X13-SEATS-ARIMA as an automated forecasting tool
  20. Graphics showcase
  21. Elastic net regularization of a model of burned calories
  22. Seasonal decomposition in the ggplot2 universe with ggseas
  23. Tourism forecasting competition data in the Tcomp R package
  24. Presentations
  25. Extracting data on shadow economy from PDF tables
  26. Simulations to explore excessive lagged X variables in time series modelling
  27. Success rates of appeals to the Supreme Court by Circuit
  28. Seasonal adjusment on the fly with X-13ARIMA-SEATS, seasonal and ggplot2
  29. Dual axes time series plots with various more awkward data
  30. Linear model with time series random component
  31. State-space modelling of the Australian 2007 federal election
  32. Sankey charts for swinging voters
  33. Moving largish data from R to H2O - spam detection with Enron emails
  34. Animated world inequality map
  35. Create ARIMA time series from bottom up
  36. Sampling distribution of Gini coefficient
  37. US Presidential inauguration speeches
  38. Network charts of commuting in New Zealand with R and D3
  39. Election analysis contest entry part 1 - introducing the nzelect R package
  40. Declining sea ice in the Arctic
  41. Visualising relationships between children's books
  42. Modelling individual party vote from the 2014 New Zealand election study
  43. Extreme pie chart polishing
  44. forecastHybrid 0.3.0 on CRAN
  45. Air quality in Indian cities
  46. Simulating backgammon players' Elo ratings
  47. Autocorrelation functions of materially different time series
  48. Importance of exports and economic growth, cross-country time series
  49. Explore with Shiny the impact of sample size on "p-charts"
  50. New Zealand Tourism Dashboard pushes Shiny to the max
  51. Deaths from assault over time in 40 relatively rich countries
  52. New Zealand election forecasts
  53. ggseas package for seasonal adjustment on the fly with ggplot2
  54. Global choropleth maps of military expenditure
  55. Creating a scale transformation
  56. Visual contrast of two robust regression methods
  57. Luke-warm about micromaps
  58. How to compare two blackbox timeseries generators?
  59. Election analysis contest entry part 3 - interactive exploration of voting locations with leaflet and Shiny
  60. Inter-country inequality and the World Development Indicators
  61. Update of `ggseas` for seasonal decomposition on the fly
  62. Getting started in applied statistics / datascience
  63. Data from the World Health Organization API
  64. Presentation slides on using graphics
  65. Does seasonally adjusting first help forecasting?
  66. Who turned out to vote in the 2014 New Zealand general election?
  67. Election analysis contest entry part 4 - drivers of preference for Green over Labour party
  68. Filling in the gaps - highly granular estimates of income and population for New Zealand from survey data
  69. House effects in New Zealand voting intention polls
  70. Actual coverage of confidence intervals for standard deviation
  71. Recruiting Analysts for dynamic cutting edge public sector team
  72. Success rates of automated ARIMA fitting
  73. Stats NZ encouraging active sharing for microdata access projects
  74. Impact of omitted variables on estimating causal effects - simulations
  75. Statistics New Zealand experimental API initiative
  76. nzcensus on GitHub
  77. Improving state-space modelling of the Australian 2007 federal election
  78. Silver flows in the seventeenth and eighteenth centuries
  79. Minimalist Tufte-inspired axis text with Scottish-New Zealand historical material
  80. New Zealand Election Study individual level data
  81. Cartograms of New Zealand census data
  82. Importing the New Zealand Income Survey SURF
  83. Sampling distribution of weighted Gini coefficient
  84. Estimating Gini coefficient when we only have mean income by decile
  85. More things with the New Zealand Election Study
  86. New Zealand general election forecasts - state space model
  87. New Zealand Data & APIs on GitHub
  88. A better way of visualising income distributions with zeroes and negatives
  89. Analysing the Modelled Territorial Authority GDP estimates for New Zealand
  90. Inequality measures in the World Development Indicators
  91. Election analysis contest entry part 2 - building the nzelect R package
  92. nzelect 0.2.0 on CRAN
  93. International Household Income Inequality data
  94. Earthquake energy over time
  95. Family violence and economic deprivation in New Zealand
  96. New Zealand general election forecasts - changelog
  97. Web app for individual party vote from the 2014 New Zealand election study
  98. Monthly Regional Tourism Estimates
  99. The long view on New Zealand political polls
  100. Transforming the breaks to match a scale