- Error, trend, seasonality - ets and its forecast model friends
- Timeseries forecasting using extreme gradient boosting
- R Markdown for documents with logos, watermarks, and corporate styles
- Exploring propensity score matching and weighting
- Better prediction intervals for time series forecasts
- Cross-validation of topic modelling
- Why time series forecasts prediction intervals aren't as good as we'd hope
- Skill v luck in determining backgammon winners
- Dual axes time series plots may be ok sometimes after all
- Bootstrap and cross-validation for evaluating modelling strategies
- Extrapolation is tough for trees!
- Books I like
- Sparse matrices, k-means clustering, topic modelling with posts on the 2004 US Presidential election
- about free range statistics
- Dual axes time series plots with various more awkward data
- Fifteen New Zealand government Shiny web apps
- X13-SEATS-ARIMA as an automated forecasting tool
- Dynamic Stochastic General Equilibrium models made (relatively) easy with R
- Some quirks with R and SQL Server
- FiveThirtyEight's polling data for the US Presidential election
- Extreme pie chart polishing
- Seasonal decomposition in the ggplot2 universe with ggseas
- Simulations to explore excessive lagged X variables in time series modelling
- Success rates of appeals to the Supreme Court by Circuit
- Sampling distribution of weighted Gini coefficient
- Setting up RStudio Server, Shiny Server and PostgreSQL
- Why you need version control
- Create ARIMA time series from bottom up
- New Zealand fatal traffic crashes
- Announcing new forecastHybrid package
- Truncated Poisson distributions in R and Stan
- Elastic net regularization of a model of burned calories
- How to recruit data analysts for the public sector
- Estimating Gini coefficient when we only have mean income by decile
- Weighted survey data with Power BI compared to dplyr, SQL or survey
- Seasonal adjusment on the fly with X-13ARIMA-SEATS, seasonal and ggplot2
- State-space modelling of the Australian 2007 federal election
- Tourism forecasting competition data in the Tcomp R package
- Demystifying life expectancy calculations
- Actual coverage of confidence intervals for standard deviation
- US Presidential inauguration speeches
- Moving largish data from R to H2O - spam detection with Enron emails
- Creating a scale transformation
- Sampling distribution of Gini coefficient
- Extracting data on shadow economy from PDF tables
- Simulating backgammon players' Elo ratings
- How to compare two blackbox timeseries generators?
- Books I liked in 2017
- Sankey charts for swinging voters
- Visual contrast of two robust regression methods
- Animated world inequality map
- Success rates of automated ARIMA fitting
- Demography simulations
- Leading indicators of economic growth
- Explore with Shiny the impact of sample size on "p-charts"
- Linear model with time series random component
- Global choropleth maps of military expenditure
- Business confidence and economic growth
- Does seasonally adjusting first help forecasting?
- Air quality in Indian cities
- Autocorrelation functions of materially different time series
- Inter-country inequality and the World Development Indicators
- Transforming the breaks to match a scale
- Data from the World Health Organization API
- Survey books, courses and tools
- Impact of omitted variables on estimating causal effects - simulations
- Luke-warm about micromaps
- Importance of exports and economic growth, cross-country time series
- Election analysis contest entry part 1 - introducing the nzelect R package
- Modelling individual party vote from the 2014 New Zealand election study
- forecastHybrid 0.3.0 on CRAN
- Average spend, activities and length of visit in the NZ International Visitor Survey
- Network charts of commuting in New Zealand with R and D3
- Declining sea ice in the Arctic
- Spend on petrol by income
- Cartograms of New Zealand census data
- Update of `ggseas` for seasonal decomposition on the fly
- Visualising relationships between children's books
- New Zealand 2017 election results
- ggseas package for seasonal adjustment on the fly with ggplot2
- Election analysis contest entry part 3 - interactive exploration of voting locations with leaflet and Shiny
- nzcensus on GitHub
- More things with the New Zealand Election Study
- Seasonality of plagues
- Improving state-space modelling of the Australian 2007 federal election
- New Zealand Tourism Dashboard pushes Shiny to the max
- New Zealand election forecasts
- Filling in the gaps - highly granular estimates of income and population for New Zealand from survey data
- Inequality measures in the World Development Indicators
- Visualising an ethnicity statistical classification
- Deaths from assault over time in 40 relatively rich countries
- Stats NZ encouraging active sharing for microdata access projects
- Who turned out to vote in the 2014 New Zealand general election?
- Getting started in applied statistics / datascience
- Do tweeps with more followers follow tweeps with more followers?
- House effects in New Zealand voting intention polls
- Election analysis contest entry part 4 - drivers of preference for Green over Labour party
- Silver flows in the seventeenth and eighteenth centuries
- Presentation slides on using graphics
- Earthquake energy over time
