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whuber
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This is pretty close from what I would like to do. More

enter image description here

More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This is pretty close from what I would like to do.

enter image description here

More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This: http://www.springerimages.com/Images/Geosciences/1-10.1007_s10933-008-9218-2-3This is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This: http://www.springerimages.com/Images/Geosciences/1-10.1007_s10933-008-9218-2-3 is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

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beuhbbb
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This: http://www.springerimages.com/Images/Geosciences/1-10.1007_s10933-008-9218-2-3 is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This: http://www.springerimages.com/Images/Geosciences/1-10.1007_s10933-008-9218-2-3 is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

This: http://www.springerimages.com/Images/Geosciences/1-10.1007_s10933-008-9218-2-3 is pretty close from what I would like to do. More precisely, I would like to represent graphically a sequence of inferences on time-indexed RVs $X_{t_i}$ by plotting at each time $t_i$ the density for $X_{t_i}$ (the horizontal axes representing the values taken by the $(X_{t_i})_i$ and all variables being homogeneous) at the vertical level $t_i$ (the vertical axis representing the time). I note that the inference relies on MCMC methods and thus my data are set of samples. I spent many times to find a solution on the web but did not manage to find it. If somebody knows how to do that and could help me, I will really enjoy it.

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beuhbbb
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