here is link to what i been staring at all weekend. I have other models without seasonality differencing, but could not get white noise in my correlogram.
This may be funny to y'all but im really a huge fan of Kishou Arima himself. Im hoping for a character here in Choujin X that is:
-Very Calm and quiet (like rarely talks) -Apathetic facial expressions -Having a fish eye or dead eyes looking like -And last, kinda be like OP just like Arima himself. Like very strategic when it comes any battle.
The strongest exorcist of his time, Arima Tsuchimikado, takes on the 12 Celestial Guardians (Pre-Sakanashi Invasion Arc)...can the Leader of every exorcist defeat them?
Some months ago I posted a discussion here about the BT2 and BT3 soundtrack and if a official soundtrack of the western music was ever released and it was a clear no. I recently listened to these tunes again and wish they would be available in better quality since all we have are low quality rips. After this I just decided to write to the main composer about this topic.
While he doubts that it is possible due to the age of the music, it is not impossible, especially if the community would show enough interest in this.
Which is why I posted this here so this might gain some attraction.
Here is a picture of the chat with him as proof: https://i.imgur.com/dWdtdZ8.png
Who knows, maybe if enough people contact him or Bandai Namco about it, they might look into the possibility of releasing the soundtrack, even if just digitally. I just wanted to put some attention on this topic because maybe we could make this a reality! I have so many memories about these tunes and I would love to see a official release.
Btw, you might not have played BT2 or BT3 but these tunes were also reused in Raging Blast 2, Revenge Of King Piccolo and the Budokai HD Collection. So maybe even you remember some of these tracks.
Here are the OSTs in question:
BT2: https://www.youtube.com/watch?v=UnDD_qUDJP8&list=PLnZc6WBQn4V-mxZ1Wiv28gII_o-gRPOAF
BT3: https://www.youtube.com/watch?v=CtOvqQZ2GkA&list=PLnZc6WBQn4V_sHAPqyAU5_nb-92tyxRBg
#Pools Winners Final
Repo // Twitter | Wiki
vs
Naru "Lunamado" Sekito // Twitch | Twitter | Wiki | Team
| Megaman Repo | 3 - 2 | Lunamado BowserLuigi | ||
|---|---|---|---|---|
| 2 stocks | = Megaman |
Final Destination | Roy = |
--- |
| --- | = Megaman |
Small Battlefield | Luigi = |
1 stock |
| --- | = Megaman |
Battlefield | Luigi = |
1 stock |
| 2 stocks | = Megaman |
Battlefield | Luigi = |
--- |
| 2 stocks | = Megaman |
Final Destination | Luigi = |
--- |
^^Generated ^^by ^^Tournament ^^Tabler
My friend and I were discussing the different relationships in TG. We came down to Eto and Arima, we both agreed they probably liked each other, but what donβt agree on is that Kaneki symbolizes to be their child. I think he is, but my friend thinks itβs Takizawa. (Thereβs no discussion flair so I just used βotherβ hope thatβs ok)
Hello all
I'm predicting natural gas consumption and I'm trying some different methods out. I have hourly observations. The data has two seasonalities - yearly and daily.
I have tried TBATS for Python, but it takes ages to train. I think this is because I have so many observations in my training set (24*365*2=17520), but I need that many to capture the yearly seasonality? This is my estimator:
estimator = TBATS(seasonal_periods=(24,(365.25*24)))
I also tried auto_arima for Python (and used to Fourier terms for modelling the two seasonalities), but I keep running out of memory. I'm on a decent laptop.
I would try seasonal_decompose twice and then just a simple ARIMA, but I'm not sure how to add the seasonality back again.
Does anyone have any good advice?
Also, how would I even evaluate my results? I realize I can predict the consumption and then compare with actuals, but how is that done on a larger scale?
Thanks for any ideas you are able to offer.
With stats equalized, what fictional character can beat Arima Kishou in
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A hand to hand fight
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A fight using any weapon of their choice
I've been assigned the task to redo a time series analysis using rstudio. In the Example i have to redo (only given plot- and some console output) the arima() function is used which tells us a certain value of sigma^2 of the given ts data set. When I use the exact same function however it results in a lower value. The only way for me so far to get the right value is to use the Arima() function instead. This is important since i was asked to redo the analysis step by step so if any of you could help me i would be incredebily thankful.
