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-4 votes
0 answers
83 views

I’m working on a monthly forecasting problem at CCU (product–market) level and would really value expert feedback on whether my approach so far is sound, and how best to proceed with modeling. What I’...
2 votes
2 answers
104 views

My data is large CPI dataset containing headline CPI as well as various subindexes (i.e. food, non-food, services). Initial data stored in Excel spreadsheet in wide format like this: name 2002Q1 ...
1 vote
0 answers
41 views

we have 300 stores in a retail demand forecasting problem and we have 1 years of daily demand data, for some stores shorter. Using GRU to also model the extreme cases but the problem is how to feed ...
0 votes
0 answers
91 views

I'm struggling to visualize the performance of the timeLLM model on the Ehtt1 dataset. https://github.com/KimMeen/Time-LLM/blob/main/run_main.py The forecast function returns predictions and actuals ...
1 vote
1 answer
152 views

Currently I am working on a timeseries data which looks like this click to see data The data consists of 5 companies, 15 products (each company has 3-5 products) and 6 different regions Goal To build ...
1 vote
0 answers
38 views

Let's assume we have some time-series data where every person (sample) has measurements for 2 variables (Var1, Var2) for three timepoints. Following is a dummy representation of the data. Is there a ...
1 vote
0 answers
233 views

I have a TFT model that is performing a timeseries forecasting using the get_stallion dataset. See the link below for reference: https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/stallion....
-1 votes
1 answer
462 views

I am trying to find anomaly on multiple sensor data using random cut forest, how can i use random cut forest for multi times series data. i have created a model for one time series data and that works ...
0 votes
0 answers
332 views

I am helping a friend with their thesis in statistics and we need to make a SVAR. I have the following output from VAR which I want to use as an input to SVAR (Not sure if that is the correct input) ...
0 votes
2 answers
118 views

Consider an example of a VARX model estimate in R, using MTS package: library(tidyverse) library(MTS) library(modelsummary) library(vars) library(stats) set.seed(10) ts1 <- rnorm(200, mean = 10, ...
0 votes
1 answer
73 views

I am trying to replicate the MAG-GAN architecture presented in the paper MAD-GAN paper starting from their source code: https://github.com/LiDan456/MAD-GANs.git , for a Time Series Anomaly Detection ...
1 vote
0 answers
103 views

I am pretty new with working with Tensorflow and in coding in general. So I'm sorry if this question seems trivial or was answered somewhere else in a way that I maybe didn't understand as a solution ...
1 vote
0 answers
133 views

I am new to time series analysis. I have the following dummy data: Timestamp Cpu_utilization_Percentage Server_name 2022年01月11日 00:05:00 80 abc 2022年01月11日 00:10:00 30 xyz 2022年01月11日 00:15:00 5 def 2022-...
-2 votes
1 answer
543 views

I've been working on a multivariate LSTM model for time series forecasting, but I'm encountering an issue where the predicted output doesn't exhibit enough variability or 'ups and downs'. The ...
0 votes
1 answer
71 views

My problem I've been struggling with this issue for a few days now. My chart is seeing the values its being provided. I can tell because the range of chart has an upper limit of 60k, but it doesn't ...

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