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I see you have implemented Taylor series expansion around a point in 1D, very nice. What I would like is to be able to do the same thing, efficiently, in two dimensions. How difficult do you think it…
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As mentioned in #272: Improve documentation on multivariate polynomials.
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**Issue by [bob-carpenter](https://github.com/bob-carpenter)**
_Friday Jan 03, 2014 at 23:33 GMT_
_Originally opened as https://github.com/stan-dev/stan/issues/482_
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From Andrew:
Add a paraemt…
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```
I want to use the class HMM to model left-right HMMs in a speech
recognition system.
The problem is: The state pdf used in this case is a mixture of
multivariate gaussians and, as I read on JavaD…
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```
I want to use the class HMM to model left-right HMMs in a speech
recognition system.
The problem is: The state pdf used in this case is a mixture of
multivariate gaussians and, as I read on JavaD…
-
```
I want to use the class HMM to model left-right HMMs in a speech
recognition system.
The problem is: The state pdf used in this case is a mixture of
multivariate gaussians and, as I read on JavaD…
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Is it possible to allow mask (in `forward_filter`, `log_prob, etc) to be multivariate i.e. with dimensions `[num_timesteps, observation_size]` rather than just `[num_timesteps]`? That will allow missi…
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I have a time series data that i want to run the ccf function in Rstudio but I keep getting error stating " univariate time series only".
My time series shows "mts".
How do i get around this?
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```
I want to use the class HMM to model left-right HMMs in a speech
recognition system.
The problem is: The state pdf used in this case is a mixture of
multivariate gaussians and, as I read on JavaD…
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Assume `f` is a function that consumes numpy arrays of shape `N x d` and returns arrays of the form `N` (i.e., it is a map from R^d to R and allows for vectorized calls).
What is the most elegant …