updated index pages

The index pages were updated with the recently added proofs.

Author: JoramSoch

I/PbA.md

@@ -8,7 +8,7 @@ title: "Proof by Author"
 
 - [Covariance matrix of the multinomial distribution](/P/mult-cov)
 
-### JoramSoch (396 proofs)
+### JoramSoch (397 proofs)
 
 - [Accuracy and complexity for the univariate Gaussian](/P/ug-anc)
 - [Accuracy and complexity for the univariate Gaussian with known variance](/P/ugkv-anc)
@@ -199,6 +199,7 @@ title: "Proof by Author"
 - [Maximum log-likelihood for multinomial observations](/P/mult-mll)
 - [Maximum log-likelihood for multiple linear regression](/P/mlr-mll)
 - [Maximum-a-posteriori estimation for binomial observations](/P/bin-map)
+- [Maximum-a-posteriori estimation for multinomial observations](/P/mult-map)
 - [Mean of the Bernoulli distribution](/P/bern-mean)
 - [Mean of the beta distribution](/P/beta-mean)
 - [Mean of the binomial distribution](/P/bin-mean)

I/PbN.md

@@ -433,3 +433,4 @@ title: "Proof by Number"
 | P425 | duni-kl | [Kullback-Leibler divergence for the discrete uniform distribution](/P/duni-kl) | JoramSoch | 2023-11-17 |
 | P426 | gam-scal | [Scaling of a random variable following the gamma distribution](/P/gam-scal) | JoramSoch | 2023-11-24 |
 | P427 | bin-map | [Maximum-a-posteriori estimation for binomial observations](/P/bin-map) | JoramSoch | 2023-12-01 |
+| P428 | mult-map | [Maximum-a-posteriori estimation for multinomial observations](/P/mult-map) | JoramSoch | 2023-12-08 |

I/PbT.md

@@ -232,6 +232,7 @@ title: "Proof by Topic"
 - [Maximum log-likelihood for multinomial observations](/P/mult-mll)
 - [Maximum log-likelihood for multiple linear regression](/P/mlr-mll)
 - [Maximum-a-posteriori estimation for binomial observations](/P/bin-map)
+- [Maximum-a-posteriori estimation for multinomial observations](/P/mult-map)
 - [Mean of the Bernoulli distribution](/P/bern-mean)
 - [Mean of the beta distribution](/P/beta-mean)
 - [Mean of the binomial distribution](/P/bin-mean)

I/PwS.md

@@ -76,6 +76,7 @@ title: "Proofs without Source"
 - [Maximum log-likelihood for binomial observations](/P/bin-mll)
 - [Maximum log-likelihood for multinomial observations](/P/mult-mll)
 - [Maximum-a-posteriori estimation for binomial observations](/P/bin-map)
+- [Maximum-a-posteriori estimation for multinomial observations](/P/mult-map)
 - [Mean of the categorical distribution](/P/cat-mean)
 - [Mean of the continuous uniform distribution](/P/cuni-mean)
 - [Mean of the ex-Gaussian distribution](/P/exg-mean)