Predictive Root Based Bootstrap Prediction Intervals in Neural Network Models for Time Series Forecasting
S Barman, V Ramasubramanian, KN Singh… - Journal of the Indian …, 2024 - Springer
Time series (TS) modelling is an important area in the domain of statistics, as it enables us to
comprehend the dynamics underlying a particular phenomenon. In the spectrum of non …
comprehend the dynamics underlying a particular phenomenon. In the spectrum of non …
[PDF][PDF] Variational Mode Decomposition based Machine Learning Models Optimized with Genetic Algorithm for Price Forecasting
Accurate and timely price information and forecasting help in making efficient plans and
strategies. Non-linearity and non-stationarity behaviour of price data create problems in …
strategies. Non-linearity and non-stationarity behaviour of price data create problems in …
[PDF][PDF] Package 'ECTSVR'
P Das, MP Das - 2023 - mirrors.aliyun.com
Arguments data A cointegated time series data type Type of cointegration test to be used.
Either" trace" or" eigen" value based t Partition value for spliting the data set into training and …
Either" trace" or" eigen" value based t Partition value for spliting the data set into training and …