• A.K. Yanchenko, D. Deng, J. Li, A.J. Cron and M. West. Hierarchical Dynamic Modeling for Bayesian Individualized Forecasting. Journal of the Royal Statistical Society Series C: Applied Statistics, 72(1):144-164, 2023. [DOI |arXiv | code]

  • A. K. Yanchenko, G. Tierney, J. Lawson, C. Hellmayr, A. Cron and M. West. Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue (with discussion). Applied Stochastic Models in Business and Industry 2022. [DOI |arXiv |Discussion DOI | Discussion arXiv]

  • A. K. Yanchenko, M. Soltani, R. Ravier, S. Mukherjee and V. Tarokh. A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling . 2021. [arXiv | code]

  • A.K. Yanchenko and P.D. Hoff. Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles. Annals of Applied Statistics, 14(4):1581-1603, 2020. [DOI | arXiv | code]

  • A. K. Yanchenko. Network Analysis of Orchestral Concert Programming. 2020. [arXiv | code]

  • A.K. Yanchenko and S. Mukherjee. Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series. 2020. [arXiv]

  • A.K. Yanchenko and S. Mukherjee. Classical Music Composition Using State Space Models. 2018. [arXiv | website | code]

  • B. Bullough, A.K. Yanchenko, C. Smith, and J. Zipkin. Prediciting Exploitation of Disclosed Software Vulnerabilities Using Open-Source Data. Proceedings of the 3rd ACM on International Workshop on Security and Privacy Analystics, 2017. [arXiv]

  • R.B. Davidson, A.K. Yanchenko, J.I. Ziegler, S.M. Avanesyan, B.J. Lawrie and R.F. Haglund, Jr. Ultrafast Plasmonic Control of Second Harmonic Generation. ACS Photonics, 3(8):1477-1481, 2016.