Author: De, Shankhajyoti; Dey, Arabin Kumar; Gouda, Deepak Kumar
Title: Construction of Confidence Interval for a Univariate Stock Price Signal Predicted Through Long Short Term Memory Network Cord-id: qbk4uvs8 Document date: 2020_7_22
ID: qbk4uvs8
Snippet: In this paper, we show an innovative way to construct bootstrap confidence interval of a signal estimated based on a univariate LSTM model. We take three different types of bootstrap methods for dependent set up. We prescribe some useful suggestions to select the optimal block length while performing the bootstrapping of the sample. We also propose a benchmark to compare the confidence interval measured through different bootstrap strategies. We illustrate the experimental results through some s
Document: In this paper, we show an innovative way to construct bootstrap confidence interval of a signal estimated based on a univariate LSTM model. We take three different types of bootstrap methods for dependent set up. We prescribe some useful suggestions to select the optimal block length while performing the bootstrapping of the sample. We also propose a benchmark to compare the confidence interval measured through different bootstrap strategies. We illustrate the experimental results through some stock price data set.
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