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Fix typos detected by codespell
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@@ -50,7 +50,7 @@
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* a sequence of identically and independently distributed (IID) samples of a stationary
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* stochastic process by way of Bayesian inference using conjugate priors. The posterior
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* distribution is assumed to be Gaussian with mean \mathbf{\mu} and covariance \hat{\mathbf{C}},
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* which has a conjugate prior given by a normal-inverse-Wishart distribution with paramemters
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* which has a conjugate prior given by a normal-inverse-Wishart distribution with parameters
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* \mathbf{\mu}_{0}, \kappa_{0}, \nu_{0}, and \mathbf{\Psi}.
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*
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* [1] TODO: Ref1
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