- Understanding PP plots (02/2020)
- Chirp-time bounds (10/2019)
- Using gwpy to access LIGO data remotely (09/2019)
- Setting up conda on ozstar (08/2019)
- Detecting a bias using a pp plot (05/2019)
- Importance reweighting example (03/2019)
- Singularity container for pulsar tools (01/2019)
- Running jobs on a server (08/2018)
- Nested sampling errors (07/2018)
- The Gelman Rubin Statistic and emcee (09/2017)
- Understanding large odds (12/2016)
- Basic primer on MCMC (10/2016)
- Interactive FFT for time dependent frequency sinusoi (09/2016)
- Example of zero padding using Scipy (09/2016)
- Using Scipy KS tes (03/2016)
- Picking scratchcards (03/2016)
- Tips for speeding up new system setup (12/2015)
- Some useful latex helper tools (12/2015)
- Hierarchical Linear Regression Models In PyMC3 Multiple Responces (12/2015)
- Hierarchical NonLinear Regression Models In PyMC3 (12/2015)
- Testing Bimodality (11/2015)
- Estimating the underlying distribution of Lyne 2010 correlations in nudo (09/2015)
- Understanding the large odds ratios due to the choice of priors (09/2015)
- Hierarchical Linear Regression Models In PyMC3 (08/2015)
- Investigating the effect of the prior on the evidence (08/2015)
- Adding to triangle plots (07/2015)
- Setting nice axes labels in matplotlib (07/2015)
- Plotting country level data for the UK (07/2015)
- Interactive pulsar beam geometry (07/2015)
- More Parallelising emcee using IPython paralle (07/2015)
- Mining used car sales (07/2015)
- Parallelising emcee using IPython paralle (06/2015)
- ipython nbconvert latex template to hide code (06/2015)
- Cleaning up a messy latex figures directory (06/2015)
- Average driving speed against GDP (06/2015)
- Testing methods to estimate the evidence from MCMC simulations (05/2015)
- GDP by country (05/2015)
- Perera size of smaller peak (05/2015)
- Gaussian mixture model for pulsar population II (05/2015)
- Gaussian mixture model for pulsar population (04/2015)
- Some favourite recipes in matplotlib (04/2015)
- Income Distribution in the UK (03/2015)
- Finding minima in data (03/2015)
- Fedora firewall settings (02/2015)
- Clustering Google location data (02/2015)
- Deriving the quadratic regression coefficients (02/2015)
- Gibbs sampler with a bivariate normal distribution (02/2015)
- Applying python functions in moving windows (01/2015)
- setup automatic ssh aliases over dropbox (01/2015)
- Searching for signals in noise (01/2015)
- ipython notebook new window (01/2015)