Anna K. Yanchenko | DeepAI

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∙ 04/02/2023

Reply to Discussions of "Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue"

We are most grateful to all discussants for their positive comments and ...

0 Anna K. Yanchenko, et al. ∙

∙ 12/10/2021

Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue

Forecasting enterprise-wide revenue is critical to many companies and pr...

0 Anna K. Yanchenko, et al. ∙

∙ 05/31/2021

Towards Explainable Convolutional Features for Music Audio Modeling

Audio signals are often represented as spectrograms and treated as 2D im...

32 Anna K. Yanchenko, et al. ∙

∙ 01/09/2021

Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting

We present a case study and methodological developments in large-scale h...

0 Anna K. Yanchenko, et al. ∙

∙ 09/16/2020

Network Analysis of Orchestral Concert Programming

Orchestral concert programming is a challenging, yet critical task for e...

0 Anna K. Yanchenko, et al. ∙

∙ 06/11/2020

Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series

Time series with long-term structure arise in a variety of contexts and ...

0 Anna K. Yanchenko, et al. ∙

∙ 04/28/2020

Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles

Quantification of stylistic differences between musical artists is of ac...

0 Anna K. Yanchenko, et al. ∙

∙ 08/12/2017

Classical Music Composition Using State Space Models

Algorithmic composition of music has a long history and with the develop...

0 Anna K. Yanchenko, et al. ∙

∙ 07/25/2017

Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data

Each year, thousands of software vulnerabilities are discovered and repo...

0 Benjamin L. Bullough, et al. ∙

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