I am looking for an overview of stats/ML methods to approach a specific kind of time series problem.
I am looking to predict the next value in a series where (static) explanatory variables are present that explain some of the variance. Ideally, the model will be flexible enough to incorporate possible impact of the static variables on any autoregressive or moving average effects.
The dataset I am training on is small (low 1000s of rolling-window sequences).
The only way I can think of approaching this problem is using recurrent neural networks. I want alternatives that are NOT neural network based.
Desired deliverable is a short write-up in coherent English on a handful of methods that you think are appropriate. Include pros and cons, links to successful implementations on similar problems and the like. Please only bid on this if you are very well-versed in timeseries analysis.
24 freelance font une offre moyenne de $157 pour ce travail
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Hello, dear! I am interested in your project. I have extensive experience in time series analysis, data forecasting, stock market prediction, data cleaning, NLP, data transformation, classification and clustering, fe Plus
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hi, statistics is one of my favorite subjects and I can help you with the project. Just send me a message.
I suppose ARIMA is suitable for your context. If so, I would like to assist you. I am able to do this analysis in R. Kindly advice me further instructions. Thank you very much. Will be waiting your message...
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Hi, I have worked with ARIMA, SARIMA & SARIMAX for timeseries analysis which i believe are suitable for your case. Let me know if you want to discuss further. Regards, Monir
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Hi, This is Jhony a Data Scientist based in Madrid. I have worked on many sifferent projects based on timeseries where LSTM RNN has been applied for example attribution model. Time is the third dimension in a 3d shap Plus
hey , i am a professional Machine Learning Engineer i can do this for you , there are many statistics method for (TIME SERIES PREDICTION) about methods , we will talk in chat here is my profile -: [login to view URL] Plus