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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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1122 · Feb 202619922001200920172026
2 results for “BDARMA”
Forecasting the Evolving Composition of Inbound Tourism Demand: A Bayesian Compositional Time Series Approach Using Platform Booking Datastat.AP

Bayesian model predicts evolving guest origin markets in tourism.

problem Forecasting the changing composition of guest origin markets in tourism.
method Developed and applied Bayesian Dirichlet autoregressive moving average (BDARMA) models to Airbnb booking data.
result BDARMA models achieve lower forecast error and competitive performance in guest origin market shares.
Bayesian forecastingtourism demandorigin marketsBDARMAAirbnb
2026-02-20abs ↗pdf ↗
Forecasting the Evolving Composition of Inbound Tourism Demand: A Bayesian Compositional Time Series Approach Using Platform Booking Datastat.AP

Bayesian models predict evolving guest origin markets in tourism.

problem Forecasting the changing composition of guest origin markets in tourism.
method Developed and applied Bayesian Dirichlet autoregressive moving average (BDARMA) models to Airbnb booking data.
result BDARMA models outperform standard benchmarks in forecasting guest origin market shares.
Bayesian forecastingBDARMA modelsAirbnb booking datatourism demandorigin markets
2026-02-20abs ↗pdf ↗