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updated index pages
The index pages were updated with the recently added proofs/definitions.
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D/ind-cond.md

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where $p(x_1, \ldots, x_n \vert y)$ are the [joint (conditional) probabilities](/D/prob-joint) of $X_1, \ldots, X_n$ given $Y$ and $p(x_i)$ are the [marginal (conditional) probabilities](/D/prob-marg) of $X_i$ given $Y$.
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<br>
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2) A set of [continuous random variables](/D/rvar-cont) $X_1, \ldots, X_n$ with possible values $\mathcal{X}_1, \ldots, \mathcal{X}_n$ is called conditionally independent given the random variable $Y$ with possible values $\mathcal{Y}$, if
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2) A set of [continuous random variables](/D/rvar-disc) $X_1, \ldots, X_n$ with possible values $\mathcal{X}_1, \ldots, \mathcal{X}_n$ is called conditionally independent given the random variable $Y$ with possible values $\mathcal{Y}$, if
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$$ \label{eq:cond-ind-F}
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F_{X_1,\ldots,X_n|Y=y}(x_1,\ldots,x_n) = \prod_{i=1}^{n} F_{X_i|Y=y}(x_i) \quad \text{for all} \; x_i \in \mathcal{X}_i \quad \text{and all} \; y \in \mathcal{Y}

I/Definition_by_Author.md

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### JoramSoch (104 definitions)
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### JoramSoch (108 definitions)
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- [Akaike information criterion](/D/aic)
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- [Bayesian information criterion](/D/bic)
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- [Coefficient of determination](/D/rsq)
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- [Conditional differential entropy](/D/dent-cond)
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- [Conditional entropy](/D/ent-cond)
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- [Conditional independence](/D/ind-cond)
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- [Conditional probability distribution](/D/dist-cond)
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- [Constant](/D/const)
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- [Continuous uniform distribution](/D/cuni)
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- [Covariance](/D/cov)
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- [Covariance matrix](/D/covmat)
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- [Cross-entropy](/D/ent-cross)
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- [Cross-validated log model evidence](/D/cvlme)
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- [Cumulant-generating function](/D/cgf)
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- [Cumulative distribution function](/D/cdf)
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- [Deviance information criterion](/D/dic)
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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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- [Random event](/D/reve)
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- [Random experiment](/D/rexp)
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- [Random matrix](/D/rmat)
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- [Random variable](/D/rvar)
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- [Random vector](/D/rvec)

I/Definition_by_Number.md

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| D106 | rvar-uni | [Univariate and multivariate random variable](/D/rvar-uni) | JoramSoch | 2020-11-06 |
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| D107 | min | [Minimum](/D/min) | JoramSoch | 2020-11-12 |
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| D108 | max | [Maximum](/D/max) | JoramSoch | 2020-11-12 |
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| D109 | rexp | [Random experiment](/D/rexp) | JoramSoch | 2020-11-19 |
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| D110 | reve | [Random event](/D/reve) | JoramSoch | 2020-11-19 |
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| D111 | cvlme | [Cross-validated log model evidence](/D/cvlme) | JoramSoch | 2020-11-19 |
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| D112 | ind-cond | [Conditional independence](/D/ind-cond) | JoramSoch | 2020-11-19 |

I/Definition_by_Topic.md

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- [Coefficient of determination](/D/rsq)
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- [Conditional differential entropy](/D/dent-cond)
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- [Conditional entropy](/D/ent-cond)
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- [Conditional independence](/D/ind-cond)
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- [Conditional probability distribution](/D/dist-cond)
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- [Constant](/D/const)
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- [Continuous uniform distribution](/D/cuni)
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- [Covariance](/D/cov)
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- [Covariance matrix](/D/covmat)
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- [Cross-entropy](/D/ent-cross)
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- [Cross-validated log model evidence](/D/cvlme)
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- [Cumulant-generating function](/D/cgf)
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- [Cumulative distribution function](/D/cdf)
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### R
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- [Random event](/D/reve)
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- [Random experiment](/D/rexp)
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- [Random matrix](/D/rmat)
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- [Random variable](/D/rvar)
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- [Random vector](/D/rvec)

I/Proof_by_Author.md

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### JoramSoch (183 proofs)
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### JoramSoch (186 proofs)
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- [(Non-)Multiplicativity of the expected value](/P/mean-mult)
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- [Additivity of the Kullback-Leibler divergence for independent distributions](/P/kl-add)
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- [Cumulative distribution function in terms of probability mass function of a discrete random variable](/P/cdf-pmf)
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- [Cumulative distribution function of a strictly decreasing function of a random variable](/P/cdf-sdfct)
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- [Cumulative distribution function of a strictly increasing function of a random variable](/P/cdf-sifct)
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- [Cumulative distribution function of the beta distribution](/P/beta-cdf)
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- [Cumulative distribution function of the continuous uniform distribution](/P/cuni-cdf)
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- [Cumulative distribution function of the discrete uniform distribution](/P/duni-cdf)
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- [Cumulative distribution function of the exponential distribution](/P/exp-cdf)
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- [Joint likelihood is the product of likelihood function and prior density](/P/jl-lfnprior)
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- [Kullback-Leibler divergence for the gamma distribution](/P/gam-kl)
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- [Kullback-Leibler divergence for the multivariate normal distribution](/P/mvn-kl)
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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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- [Linear transformation theorem for the matrix-normal distribution](/P/matn-ltt)
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- [Quantile function of the continuous uniform distribution](/P/cuni-qf)
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- [Quantile function of the discrete uniform distribution](/P/duni-qf)
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- [Quantile function of the exponential distribution](/P/exp-qf)
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- [Quantile function of the gamma distribution](/P/gam-qf)
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- [Quantile function of the normal distribution](/P/norm-qf)
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- [Relation between gamma distribution and standard gamma distribution](/P/gam-sgam)
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- [Relation between gamma distribution and standard gamma distribution](/P/gam-sgam2)

I/Proof_by_Number.md

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| P190 | cdf-pdf | [Cumulative distribution function in terms of probability density function of a continuous random variable](/P/cdf-pdf) | JoramSoch | 2020-11-12 |
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| P191 | pdf-cdf | [Probability density function is first derivative of cumulative distribution function](/P/pdf-cdf) | JoramSoch | 2020-11-12 |
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| P192 | qf-cdf | [Quantile function is inverse of strictly monotonically increasing cumulative distribution function](/P/qf-cdf) | JoramSoch | 2020-11-12 |
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| P193 | norm-kl | [Kullback-Leibler divergence for the normal distribution](/P/norm-kl) | JoramSoch | 2020-11-19 |
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| P194 | gam-qf | [Quantile function of the gamma distribution](/P/gam-qf) | JoramSoch | 2020-11-19 |
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| P195 | beta-cdf | [Cumulative distribution function of the beta distribution](/P/beta-cdf) | JoramSoch | 2020-11-19 |

I/Proof_by_Topic.md

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- [Cumulative distribution function in terms of probability mass function of a discrete random variable](/P/cdf-pmf)
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- [Cumulative distribution function of a strictly decreasing function of a random variable](/P/cdf-sdfct)
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- [Cumulative distribution function of a strictly increasing function of a random variable](/P/cdf-sifct)
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- [Cumulative distribution function of the beta distribution](/P/beta-cdf)
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- [Cumulative distribution function of the continuous uniform distribution](/P/cuni-cdf)
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- [Cumulative distribution function of the discrete uniform distribution](/P/duni-cdf)
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- [Cumulative distribution function of the exponential distribution](/P/exp-cdf)
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- [Kullback-Leibler divergence for the gamma distribution](/P/gam-kl)
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- [Kullback-Leibler divergence for the multivariate normal distribution](/P/mvn-kl)
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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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### L
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- [Quantile function of the continuous uniform distribution](/P/cuni-qf)
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- [Quantile function of the discrete uniform distribution](/P/duni-qf)
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- [Quantile function of the exponential distribution](/P/exp-qf)
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- [Quantile function of the gamma distribution](/P/gam-qf)
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- [Quantile function of the normal distribution](/P/norm-qf)
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### R

I/Proofs_without_Source.md

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- [Exponential distribution is a special case of gamma distribution](/P/exp-gam)
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- [First raw moment is mean](/P/momraw-1st)
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- [Joint likelihood is the product of likelihood function and prior density](/P/jl-lfnprior)
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- [Kullback-Leibler divergence for the normal distribution](/P/norm-kl)
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- [Linear transformation theorem for the matrix-normal distribution](/P/matn-ltt)
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- [Log model evidence for multinomial observations](/P/mult-lme)
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- [Log model evidence for multivariate Bayesian linear regression](/P/mblr-lme)

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