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

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### JoramSoch (159 definitions)
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### JoramSoch (162 definitions)
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- [Akaike information criterion](/D/aic)
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- [Alternative hypothesis](/D/h1)
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- [Empirical Bayesian log model evidence](/D/eblme)
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- [Empirical and theoretical prior distribution](/D/prior-emp)
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- [Estimation matrix](/D/emat)
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- [Event space](/D/eve-spc)
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- [Exceedance probability](/D/prob-exc)
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- [Expected value](/D/mean)
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- [Expected value of a random matrix](/D/mean-rmat)
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- [Probability density function](/D/pdf)
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- [Probability distribution](/D/dist)
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- [Probability mass function](/D/pmf)
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- [Probability space](/D/prob-spc)
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- [Probability-generating function](/D/pgf)
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- [Projection matrix](/D/pmat)
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- [Quantile function](/D/qf)
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- [Residual-forming matrix](/D/rfmat)
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- [Sample covariance matrix](/D/covmat-samp)
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- [Sample mean](/D/mean-samp)
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- [Sample space](/D/samp-spc)
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- [Sample variance](/D/var-samp)
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- [Sampling distribution](/D/dist-samp)
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- [Shannon entropy](/D/ent)

I/DbN.md

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| D162 | cfm | [Corresponding forward model](/D/cfm) | JoramSoch | 2021-10-21 |
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| D163 | slr | [Simple linear regression](/D/slr) | JoramSoch | 2021-10-27 |
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| D164 | regline | [Regression line](/D/regline) | JoramSoch | 2021-10-27 |
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| D165 | samp-spc | [Sample space](/D/samp-spc) | JoramSoch | 2021-11-26 |
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| D166 | eve-spc | [Event space](/D/eve-spc) | JoramSoch | 2021-11-26 |
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| D167 | prob-spc | [Probability space](/D/prob-spc) | JoramSoch | 2021-11-26 |

I/DbT.md

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- [Empirical Bayesian log model evidence](/D/eblme)
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- [Encompassing model](/D/encm)
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- [Estimation matrix](/D/emat)
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- [Event space](/D/eve-spc)
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- [Exceedance probability](/D/prob-exc)
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- [Expected value](/D/mean)
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- [Expected value of a random matrix](/D/mean-rmat)
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- [Probability density function](/D/pdf)
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- [Probability distribution](/D/dist)
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- [Probability mass function](/D/pmf)
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- [Probability space](/D/prob-spc)
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- [Probability-generating function](/D/pgf)
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- [Projection matrix](/D/pmat)
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- [Sample covariance](/D/cov-samp)
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- [Sample covariance matrix](/D/covmat-samp)
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- [Sample mean](/D/mean-samp)
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- [Sample space](/D/samp-spc)
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- [Sample variance](/D/var-samp)
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- [Sampling distribution](/D/dist-samp)
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- [Shannon entropy](/D/ent)

I/PbA.md

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### JoramSoch (280 proofs)
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### JoramSoch (283 proofs)
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- [(Non-)Multiplicativity of the expected value](/P/mean-mult)
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- [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
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- [Kullback-Leibler divergence for the normal distribution](/P/norm-kl)
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- [Kullback-Leibler divergence for the normal-gamma distribution](/P/ng-kl)
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- [Law of the unconscious statistician](/P/mean-lotus)
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- [Law of total covariance](/P/cov-tot)
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- [Law of total expectation](/P/mean-tot)
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- [Law of total probability](/P/prob-tot)
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- [Law of total variance](/P/var-tot)
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- [Linear combination of independent normal random variables](/P/norm-lincomb)
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- [Linear transformation theorem for the matrix-normal distribution](/P/matn-ltt)
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- [Linear transformation theorem for the moment-generating function](/P/mgf-ltt)

I/PbN.md

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| P288 | slr-ols2 | [Ordinary least squares for simple linear regression](/P/slr-ols2) | JoramSoch | 2021-11-16 |
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| P289 | slr-wls2 | [Weighted least squares for simple linear regression](/P/slr-wls2) | JoramSoch | 2021-11-16 |
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| P290 | slr-mle2 | [Maximum likelihood estimation for simple linear regression](/P/slr-mle2) | JoramSoch | 2021-11-16 |
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| P291 | mean-tot | [Law of total expectation](/P/mean-tot) | JoramSoch | 2021-11-26 |
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| P292 | var-tot | [Law of total variance](/P/var-tot) | JoramSoch | 2021-11-26 |
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| P293 | cov-tot | [Law of total covariance](/P/cov-tot) | JoramSoch | 2021-11-26 |

I/PbT.md

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### L
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- [Law of the unconscious statistician](/P/mean-lotus)
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- [Law of total covariance](/P/cov-tot)
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- [Law of total expectation](/P/mean-tot)
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- [Law of total probability](/P/prob-tot)
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- [Law of total variance](/P/var-tot)
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- [Linear combination of independent normal random variables](/P/norm-lincomb)
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- [Linear transformation theorem for the matrix-normal distribution](/P/matn-ltt)
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- [Linear transformation theorem for the moment-generating function](/P/mgf-ltt)

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