A Bayesian Dirichlet auto-regressive moving average model for forecasting lead times
| Year of publication: |
2024
|
|---|---|
| Authors: | Katz, Harrison ; Brusch, Kai Thomas ; Weiss, Robert E. |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier Science, ISSN 0169-2070, ZDB-ID 1495951-3. - Vol. 40.2024, 4, p. 1556-1567
|
| Subject: | Additive log ratio | Airbnb | Bayesian multivariate time series | Compositional data | Dirichlet distribution | Finance | Generalized ARMA model | Hospitality industry | Lead time | Markov chain Monte Carlo (MCMC) | Revenue forecasting | Simplex | Vector ARMA model | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Markov-Kette | Markov chain | ARMA-Modell | ARMA model | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Schätztheorie | Estimation theory | Gastgewerbe | Statistische Verteilung | Statistical distribution |
-
Tabash, Mosab I., (2024)
-
A Bayes algorithm for model compatibility and comparison of ARMA(p,q) models
Tripathi, Praveen Kumar, (2021)
-
Bayesian approach to Lorenz curve using time series grouped data
Kobayashi, Genya, (2022)
- More ...
-
Estimation for paired binomial data with application to radiation therapy
Taylor, Jeremy M. G., (2001)
-
Evolutionary Similarity Among Genes
Suchard, Marc A., (2003)
-
PRESS model selection in repeated measures data
Liu, Honghu, (1999)
- More ...