List of running topics that may be of interest.
- Maximum likelihood estimation (MLE)
- Experimental design
- Bayesian statistics with priors and posterior distributions
- Cross-correlations: correlations between entries of two random vectors X and Y, while the correlations of random vector X are considered to be the correlations between the entries of X itself, those forming the correlation matrix of X
- Kernel method/trick
- Probability distributions
- Bernoulli distribution
- Negative binomial distribution
- Hypergeometric distribution
- TODO
- TODO
- Determinant
- Eigenvectors and eigenvalues
- Spans
- Matrix decomposition
- Least squares approximation
- t-SNE (t-Distributed Stochastic Neighbor Embedding)
- UMAP (Uniform Manifold Approximation and Projection)
- Geoffrey Hinton's Capsule Networks (Deep Learning)
- Cross-correlation
- Autocorrelation
- Abstract Math
- Mathematical Writing by Knuth, Larrabee, Roberts (PDF)
- Mathematics of Bioinformatics (Book) (PDF)
- Discrete Mathematics, 2nd Edition in Progress (Book 2017) (PDF)
- Various course notes in statistics from PennState Eberly College of Science - Excellent course notes e.g. Introduction to Applied Statistics
- PH525x Series - Biomedical Data Science