Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Angličtina
349 b
30 dní na vrátenie tovaru
This book uses R package iForecast to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample. Firstly, the machine learning methods cover, for example, enet, random forecast, gbm, autoML, and LSTM etc., including high frequency financial time series. Secondly, I will explain the problem about the generation of dynamic forecasts in machine learning framework, under which, there are no Xs, namely, input (independent) variables. This case is pretty common in real decision environment, for example, the decision-making want 6-monthforecasts in the real out-of-sample future, under with, there are no Xs available, what we can use is dynamic, or multistep, forecast.
Informácie o knihe
Angličtina
Kategórie
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoAhoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?