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updated index pages
The index pages were updated with the recently added proofs/definitions.
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I/PbA.md

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- [Covariance matrix of the multinomial distribution](/P/mult-cov)
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### JoramSoch (326 proofs)
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### JoramSoch (331 proofs)
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- [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
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- [Accuracy and complexity for the univariate Gaussian with known variance](/P/ugkv-anc)
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- [Corrected Akaike information criterion in terms of maximum log-likelihood](/P/aicc-mll)
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- [Correlation always falls between -1 and +1](/P/corr-range)
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- [Correlation coefficient in terms of standard scores](/P/corr-z)
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- [Covariance and variance of the normal-gamma distribution](/P/ng-cov)
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- [Covariance matrices of the matrix-normal distribution](/P/matn-cov)
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- [Covariance matrix of the categorical distribution](/P/cat-cov)
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- [Covariance matrix of the multivariate normal distribution](/P/mvn-cov)
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- [Deviance for multiple linear regression](/P/mlr-dev)
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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy can be negative](/P/dent-neg)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the gamma distribution](/P/gam-dent)
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- [Differential entropy of the multivariate normal distribution](/P/mvn-dent)
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- [Differential entropy of the normal distribution](/P/norm-dent)
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- [Gaussian integral](/P/norm-gi)
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- [Gibbs' inequality](/P/gibbs-ineq)
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- [Inflection points of the probability density function of the normal distribution](/P/norm-infl)
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- [Invariance of the covariance matrix under addition of constant vector](/P/covmat-inv)
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- [Invariance of the differential entropy under addition of a constant](/P/dent-inv)
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- [Invariance of the Kullback-Leibler divergence under parameter transformation](/P/kl-inv)
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- [Invariance of the variance under addition of a constant](/P/var-inv)
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- [Relationship between second raw moment, variance and mean](/P/momraw-2nd)
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- [Relationship between signal-to-noise ratio and R²](/P/snr-rsq)
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- [Sampling from the matrix-normal distribution](/P/matn-samp)
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- [Sampling from the normal-gamma distribution](/P/ng-samp)
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- [Scaling of the covariance matrix upon multiplication with constant matrix](/P/covmat-scal)
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- [Scaling of the variance upon multiplication with a constant](/P/var-scal)
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- [Second central moment is variance](/P/momcent-2nd)
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- [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr)

I/PbN.md

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| P341 | matn-mean | [Mean of the matrix-normal distribution](/P/matn-mean) | JoramSoch | 2022-09-15 |
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| P342 | matn-cov | [Covariance matrices of the matrix-normal distribution](/P/matn-cov) | JoramSoch | 2022-09-15 |
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| P343 | matn-marg | [Marginal distributions for the matrix-normal distribution](/P/matn-marg) | JoramSoch | 2022-09-15 |
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| P344 | matn-dent | [Differential entropy for the matrix-normal distribution](/P/matn-dent) | JoramSoch | 2022-09-22 |
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| P345 | ng-cov | [Covariance and variance of the normal-gamma distribution](/P/ng-cov) | JoramSoch | 2022-09-22 |
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| P346 | ng-samp | [Sampling from the normal-gamma distribution](/P/ng-samp) | JoramSoch | 2022-09-22 |
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| P347 | covmat-inv | [Invariance of the covariance matrix under addition of constant vector](/P/covmat-inv) | JoramSoch | 2022-09-22 |
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| P348 | covmat-scal | [Scaling of the covariance matrix upon multiplication with constant matrix](/P/covmat-scal) | JoramSoch | 2022-09-22 |

I/PbT.md

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- [Corrected Akaike information criterion in terms of maximum log-likelihood](/P/aicc-mll)
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- [Correlation always falls between -1 and +1](/P/corr-range)
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- [Correlation coefficient in terms of standard scores](/P/corr-z)
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- [Covariance and variance of the normal-gamma distribution](/P/ng-cov)
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- [Covariance matrices of the matrix-normal distribution](/P/matn-cov)
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- [Covariance matrix of the categorical distribution](/P/cat-cov)
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- [Covariance matrix of the multinomial distribution](/P/mult-cov)
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- [Deviance for multiple linear regression](/P/mlr-dev)
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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy can be negative](/P/dent-neg)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the gamma distribution](/P/gam-dent)
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- [Differential entropy of the multivariate normal distribution](/P/mvn-dent)
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- [Differential entropy of the normal distribution](/P/norm-dent)
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### I
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- [Inflection points of the probability density function of the normal distribution](/P/norm-infl)
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- [Invariance of the covariance matrix under addition of constant vector](/P/covmat-inv)
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- [Invariance of the differential entropy under addition of a constant](/P/dent-inv)
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- [Invariance of the Kullback-Leibler divergence under parameter transformation](/P/kl-inv)
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- [Invariance of the variance under addition of a constant](/P/var-inv)
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### S
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- [Sampling from the matrix-normal distribution](/P/matn-samp)
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- [Sampling from the normal-gamma distribution](/P/ng-samp)
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- [Savage-Dickey Density Ratio for computing Bayes Factors](/P/bf-sddr)
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- [Scaling of the covariance matrix upon multiplication with constant matrix](/P/covmat-scal)
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- [Scaling of the variance upon multiplication with a constant](/P/var-scal)
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- [Second central moment is variance](/P/momcent-2nd)
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- [Simple linear regression is a special case of multiple linear regression](/P/slr-mlr)

I/PwS.md

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- [Bayesian information criterion for multiple linear regression](/P/mlr-bic)
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- [Chi-squared distribution is a special case of gamma distribution](/P/chi2-gam)
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- [Conditional distributions of the normal-gamma distribution](/P/ng-cond)
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- [Covariance and variance of the normal-gamma distribution](/P/ng-cov)
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- [Covariance matrix of the categorical distribution](/P/cat-cov)
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- [Cross-validated log Bayes factor for the univariate Gaussian with known variance](/P/ugkv-cvlbf)
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- [Cross-validated log model evidence for the univariate Gaussian with known variance](/P/ugkv-cvlme)
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- [Derivation of the posterior model probability](/P/pmp-der)
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- [Deviance for multiple linear regression](/P/mlr-dev)
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- [Deviance information criterion for multiple linear regression](/P/blr-dic)
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- [Differential entropy for the matrix-normal distribution](/P/matn-dent)
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- [Differential entropy of the normal-gamma distribution](/P/ng-dent)
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- [Effects of mean-centering on parameter estimates for simple linear regression](/P/slr-meancent)
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- [Entropy of the binomial distribution](/P/bin-ent)

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