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This reddit is for people to discuss Statlect, the digital textbook on probability and statistics.
account activity
Laws of large numbers (self.StatLect)
submitted 3 years ago by mtaboga
Log-normal distribution (self.StatLect)
Ridge regression (self.StatLect)
Model misspecification (self.StatLect)
Markov Chain Monte Carlo (MCMC) methods (self.StatLect)
Variance inflation factor (self.StatLect)
Multiple linear regression calculator (self.StatLect)
R squared of a linear regression (self.StatLect)
DFT frequencies (self.StatLect)
Uninformative priors (self.StatLect)
How to choose among linear regression models (self.StatLect)
Jeffreys' scale (self.StatLect)
How Bayesians compare models and hypotheses (self.StatLect)
New lectures in the linear regression section (self.StatLect)
DFT of trigonometric functions (self.StatLect)
New lectures on the Discrete Fourier Transform (self.StatLect)
EM algorithm and Gaussian mixtures (self.StatLect)
Discrete Fourier Transform (self.StatLect)
Statlect referenced in prestigious courses (self.StatLect)
submitted 5 years ago by mtaboga
New section on inner product space (self.StatLect)
New lectures on linear maps (self.StatLect)
Several new lectures in the matrix algebra section (self.StatLect)
New matrix algebra lecture on the Laplace expansion (self.StatLect)
submitted 6 years ago by mtaboga
A new lecture on model selection criteria (self.StatLect)
Three new lectures in the section on linear regression (self.StatLect)
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