time‐series forecastingtourism demandThis article introduces the Bayesian structural time series (BSTS) as a potential tool for forecasting in the tourism literature. Using data on Australian tourist arrivals in New Zealand, the forecasting accuracy of the estimated model is evaluated using a fixed ...
bsts: Bayesian Structural Time Series https://github.com/cran/bsts Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <doi:10.1504/IJMMNO.2014.059942>, among many other sources. Version:0.9.5Depends:BoomSpikeSlab(≥ 1.2.3),zoo(≥ 1.8),xts,Boom(...
Fitting Bayesian structural time series with the bsts R package, 挖坑待填,这几天给这个bsts搞的蒙蔽了。基本没有中文资料,paper找不到,rpacakgedocum
Therefore, the purpose of this study was to assess the causal impact of opening the JSW on the control of cyanobacterial blooms and water quality using a median difference test (MDT) and CIA based on Bayesian structural time-series (BSTS) models to assess the changes in Cyano and chlorophyll...
BSTS: Bayesian structural time series (R package) DAG: Directed acyclic graph DIC: Deviance information criterion ITSA: Interrupted time series model with first-order autocorrelation MCMC: Markov chain Monte Carlo MPH: Miles per hour PDSI: Palmer drought severity index RH: Relative humidity...
Bayesian structural time series (BSTS) and ARIMA (Autoregressive Integrated Moving Aver- age) models are used to forecast time series. The goal of this study is to look at a much more adaptable effective methodology for dissecting the major components of a time series that breaks down the main...
version of pike-and-slab prior [33] with a weakly informative prior. In addition, the Bayesian structural time series models (BSTS) have been constructed to strengthen causal inference for time series data. To address the fundamental problem in causal inference [34], pre-treatment observations ...
BSTS: Bayesian structural time series DiD: difference in differences ID: identifier DBSCAN: density-based spatial clustering of applications with noise NAICS: North American Industry Classification System FEMA: Federal Emergency Management Agency HBM: hierarchical Bayesian model MAPE: mean absolute...
(1) Upon exploratory data analyses on the overall crime change patterns, an innovative BSTS model has been proposed by integrating restriction-level time series into the Bayesian structural time series (BSTS) model. This novel method allows the research to evaluate the varied effects of...
bsts: Bayesian Structural Time SeriesSteven L. Scott