Statistical topics that can be discussed:

In random order:

• likelihood analysis with non-gaussian noise
• mixture models
• coarse-grained leave-one-out likelihood
• accuracy of period determination
• expectation maximization algorithm
• Q-Q plots and Worm plots
• robust fitting
• graphical Bayesian network
• Bayesian blocks
• Gibbs sampling
• non-negative matrix factorization
• mixture density network
• bayesian alternative for K-S test
• sequential nested sampling
• beta mixture model
• effective complexity of models
• bimodality detection
• dynamic temperature selection for parallel tempering in MCMC
• nonnegative matrix factorization
• variational Bayesian methods
• phase distance correlation periodogram
• distance correlation coefficient
• hierarchical Bayesian inference
• Bayesian model selection
• generalised Lomb-Scargle periodogram
• Lucy and Sweeney bias
• gaussian mixture models
• Ve/Va method
• cross-validation
• principial component analysis
• Bayesian model validation
• guassian process
• approximate Bayesian computation
• nested sampling
• hierarchical clustering forest
• posterior inverse percentile distribution
• ensemble slice sampling
• Thompson multitaper
• model selection
• statistical evidence
• non-parametric iterative smoothing
• Lomb-Scargle periododgram