Trend and variance adaptive bayesian changepoint analysis and local outlier scoring
| Year of publication: |
2025
|
|---|---|
| Authors: | Wu, Haoxuan ; Schafer, Toryn L. J. ; Matteson, David S. |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 43.2025, 2, p. 286-297
|
| Subject: | Anomaly detection | Dynamic linear model | Stochastic volatility | Structural change | Trend filtering | Zeitreihenanalyse | Time series analysis | Volatilität | Volatility | Bayes-Statistik | Bayesian inference | Statistische Methodenlehre | Statistical theory | Stochastischer Prozess | Stochastic process | Schätztheorie | Estimation theory |
-
Large vector autoregressions with asymmetric priors
Carriero, Andrea, (2015)
-
Marcellino, Massimiliano, (2021)
-
Bayesian estimation for high-frequency volatility models in a time deformed framework
Santos, Antonio A. F., (2021)
- More ...
-
Spatial heterogeneity in machine learning-based poverty mapping : where do models underperform?
Ru, Yating, (2025)
-
Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
McBride, Linden, (2022)
-
Predicting poverty with vegetation index
Tang, Binh, (2022)
- More ...