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How hard to you think it would be to generalize your model to one where you have multiple time series all sharing the same switching factor (like Equation (1) in http://pages.uoregon.edu/jpiger/resea…
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## Proposal
Typically, interrupted time series (ITS) designs are univariate in that there is a single outcome variable. An existing example in the docs examines the causal impact of the onset of covi…
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I suggest adding the topics `time-series-analysis`, `vector-autoregression` in the About section. GitHub topic search is brittle, so that the results of topic searches for `vector-autoregression` and …
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### Motivation.
Speculative Decoding is a crucial feature for reducing latency, currently supported by vLLM (credit to @cadedaniel !). However, when deploying Speculative Decoding in real online LL…
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Hi,
In one the last releases you've added feature with external regressors. Is there any possibility to estimate their impact on the target variable **except** training models with them and without…
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Hi, this is a great work!
I would like to know why you use bidirectional Mamba? Does a single directional Mamba have any problems in your experiments?
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## What's the functionality you would like to add ##
Analytical functions to support anomaly detection.
## Why should this feature be added? ##
The most common methods for anomaly detection …
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`from functools import reduce
from operator import mul
from typing import Tuple
import numpy as np
import torch
import torchvision
import torch.nn as nn
from models.loss_functions.lsaloss impor…
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### This issue will serve as an overview of my goals for this summer, broken down by each week
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I suggest adding topics such as `time-series-analysis`, `multivariate-time-series`, `vector-autoregression`, `cluster-analysis`, `r-package` in the About section, as explained at https://docs.github.c…