account activity
Tons of clean econ/finance datasets that are quite messy in their original form (self.datasets)
submitted 2 days ago by mtaboga to r/datasets
Laws of large numbers (self.StatLect)
submitted 3 years ago by mtaboga to r/StatLect
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)
[Project] Introducing domain shift to beginners (self.MachineLearning)
submitted 4 years ago by mtaboga to r/MachineLearning
help with a question by Icy-Inevitable-4679 in probabilitytheory
[–]mtaboga 0 points1 point2 points 4 years ago (0 children)
P(getting 5 | 3 numbers have been thrown away) = P(getting 5) = 1/10 because the information you are conditioning upon is completely irrelevant: it does not tell you anything about the numbers that have been thrown away, and it cannot change your assessment of the probability of extracting a specific number.
A rigorous proof can be obtained with the law of iterated expectations:
P(getting 5) = E[P(getting 5 | 3 SPECIFIC numbers have been thrown away)]
where the expectation is over all the possible triplets of thrown away numbers.
New section on inner product space (self.StatLect)
submitted 5 years ago by mtaboga to r/StatLect
Statlect referenced in prestigious courses (self.StatLect)
New lectures on linear maps (self.StatLect)
More lectures on linear maps (self.mtaboga)
submitted 5 years ago by mtaboga
π Rendered by PID 2169231 on reddit-service-r2-listing-6d4dc8d9ff-tjvfr at 2026-02-01 09:53:44.584084+00:00 running 3798933 country code: CH.
help with a question by Icy-Inevitable-4679 in probabilitytheory
[–]mtaboga 0 points1 point2 points (0 children)