Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category

DOI10.1002/asmb.2232zbMath1411.62328OpenAlexW2588248978MaRDI QIDQ4620239

Ravishanker, Nalini, Rajkumar Venkatesan, Volodymyr Serhiyenko

Publication date: 8 February 2019

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asmb.2232

zbMATH Keywords

time seriesclusteringapproximate Bayesian inferencetemporal patternsmultivariate modelingcorrelated countsR-INLAmarketing actions

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Count Time Series: A Methodological Review

Uses Software

• R-INLA
• AS 136

Cites Work

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