Predicting forex rates with high accuracy using MCMC with Bayesian structural time-series
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Oct 3, 2020 - R
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bsts
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🌏📈 Award-Winning Earthquake Damage Report Interactive Dashboard with Bayesian Structural Time Series (R bsts), VSUP, Vega & Vue (Nuxt)
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Mar 7, 2020 - Vue
Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models
machine-learning r bayesian predictive-analytics causal-inference stastistical-sampling prediction-model time-series-analysis bsts causal-impact causalimpact
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May 21, 2019 - HTML
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
machine-learning multivariate-data backtesting stl-model arima-model bsts keras-lstm time-series-forecasting h2o-automl univariate-data ets-model
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Jan 29, 2020 - R
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Dec 27, 2022 - Python
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