Reviewing the classical "Dutch book" derivations of the probability axioms in the subjectivist interpretation of probability.
Describing a pure substance at a phase transition in terms of internal energy and volume removes all degeneracies.
A seminal article with enlightening views on the logical structure of Thermodynamics.
An interesting idea for dealing with selective inference.
Close-up on the equivalence between Kelvin's/Clausius' postulates and Clausius' *theorem*.
An open access paper by M. Glickman, J. Brown, and R. Song.
A general bound on the type I error rate of Bayesian sequential hypothesis testing based on the Bayes factor.
Some illustrations of the Akaike Information Criterion (AIC) at work in a toy example.
Notes on preprint 2403.08462 by A. Nini, O. Halvani, L. Graner, S. Ishihara and myself.
On the importance of model checks in Bayesian data analysis.
Why observed power calculations are useless (plus a few other points I don't buy).
Does knowledge of noise variance have any effect on model selection for the mean?
A nice review of properties of Deviance for one parameter exponential families.
Some notes on the causes of overdispersion in count data.
Matter transfer in open systems changes the relationship between heat and entropy, and work and volume.
Compares the "parcel" method with standard linearization of fluid dynamics equations.
... are independent fair coin tosses.
Analysis of infinite sample properties and comparison with cross-entropy loss.
Notes on the formal definition of conditional probability.
Generalities about prefix-free (a.k.a. instantaneous) codes
False Positive Rates under repeated checks - a simulation study using R.
Some options in R, using the `{lmtest}` package.
Sufficient conditions for independence of sum and ratio.
Notes and proofs of basic theorems
Self-reassurance that p-value properties don't depend on regularity assumptions on the test statistic.
Effects of noise autocorrelation on linear regression. Explicit formulae and a simple simulation.
Being wrong in the right way. With R excerpts.
OLS estimators are consistent but generally biased - here's an example.
Compares frequentist properties of credible intervals and confidence intervals in a gambling game involving a magic piggy bank.
*Cum hoc ergo propter hoc*
Mathematicals details on Selective Inference, model misspecification and coverage guarantees.
Introducing the problem of Selective Inference, illustrated through a simple simulation in R.
kgrams: Classical k-gram Language Models in R.
{runi}, an R package to interact with R-universe repository APIs
Create automatic resumes of your R packages using the R-Universe API.
Introducing {r2r}, an R implementation of hash tables.
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