Stats & Data Science Views has published a number of Layman’s Abstracts for articles recently published in Applied Stochastics Models in Business and Industry. The aim is to highlight the latest research to a broader audience in an accessible format. Read this collection of abstracts published since October 2020.

• Pape, K, Galeano, P, Wied, D. Sequential detection of parameter changes in dynamic conditional correlation models. Appl Stochastic Models Bus Ind. 2020; 1– 21. https://doi.org/10.1002/asmb.2578  Layman’s Abstract

• Scagliarini, M, Boccaforno, N, Vandi, M. Comparison of control charts for Poisson count data in health‐care monitoring. Appl Stochastic Models Bus Ind. 2020; 1– 16. https://doi.org/10.1002/asmb.2560  Layman’s Abstract

• Malinovsky, Y. Conjectures on optimal nested generalized group testing algorithm. Appl Stochastic Models Bus Ind. 2020; 1– 8. https://doi.org/10.1002/asmb.2555  Layman’s Abstract

• Bohle, D, Marynych, A, Meiners, M. A fundamental problem of hypothesis testing with finite inventory in e‐commerce. Appl Stochastic Models Bus Ind. 2020; 1– 21. https://doi.org/10.1002/asmb.2574  Layman’s Abstract