Course talk:CPSC522/Sequential Monte Carlo samplers

Thanks for your comments guys, I've changed the things you suggested so it is hopefully a little bit clearer now

This seems like a hard topic, but you have explained it well. I am not quite sure, but I think we were supposed to mention our own thoughts on the incremental contribution, which your page doesn't have.

You have mentioned every time when some part is very similar to particle filtering, which I found it very helpful because while I was reading those sections, all I was wondering was how this is different from particle filtering, but my doubts vanished when I read your confirmation about their similarity.

In some instances, there is no space between a variable name like x, which is in math mode, and the next word. For example, $x$is.

I feel like I did not quite get what a kernel is. This might be due to me missing a point or me not being familiar with the background material.

I think I could understand the first part, (I think it was almost particle filtering). I spent more time on the second part and made sure to read all parts,

I did not completely understand the second part,(not because of the writing)
but I think the notation ${\textbf {x}}_{n}$ does not include the history of a sample in the second part unlike how it was defined earlier, and if so it is slightly confusing