A Bayesian approach for the segmentation of series with a functional effect

DOI10.1177/1471082X18755539MaRDI QIDQ5142236

Cristian Meza, Karine Bertin, Emilie Lebarbier, Meïli Baragatti

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

segmentationBayesian inferencevariable selectiondictionary approachfunctional effect

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On a nonparametric change point detection model in Markovian regimes
• Nonparametric regression using Bayesian variable selection
• Wavelets, approximation, and statistical applications
• Optimal predictive model selection.
• Simultaneous analysis of Lasso and Dantzig selector
• Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments
• Evolutionary stochastic search for Bayesian model exploration
• Detection and Correction of Artificial Shifts in Climate Series
• A Bayesian Approach to DNA Sequence Segmentation
• Partially Collapsed Gibbs Samplers
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
• Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model
• Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series
• Optimal Sample Size for Multiple Testing
• A Bayesian Analysis for Change Point Problems
• Semi-parametric segmentation of multiple series using a DP-Lasso strategy
• Multiple Change-Point Estimation With a Total Variation Penalty
• An application of MCMC methods for the multiple change-points problem.

This page was built for publication: A Bayesian approach for the segmentation of series with a functional effect