Linear-phase-type probability modelling of functional PCA with applications to resistive memories

DOI10.1016/j.matcom.2020.07.006OpenAlexW3042214685MaRDI QIDQ1998592

J. B. Roldán, M. Carmen Aguilera-Morillo, C. Acal, Juan Eloy Ruiz-Castro, Ana M. Aguilera

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2020.07.006

zbMATH Keywords

P-splinesfunctional principal componentsresistive memoriesbasis expansion of curveslinear-phase-type distribution (LPH)phase-type distribution (PH)

Mathematics Subject Classification ID

Survival analysis and censored data (62Nxx) Computer system organization (68Mxx) Applications of statistics (62Pxx)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Phase-type distributions for studying variability in resistive memories
• Principal component analysis.
• Stochastic modeling of random access memories reset transitions
• Penalized PCA approaches for B-spline expansions of smooth functional data
• Functional data analysis.
• Input Modeling with Phase-Type Distributions and Markov Models