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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 ...
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12/10/2021
Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue
Forecasting enterprise-wide revenue is critical to many companies and pr...
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05/31/2021
Towards Explainable Convolutional Features for Music Audio Modeling
Audio signals are often represented as spectrograms and treated as 2D im...
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01/09/2021
Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting
We present a case study and methodological developments in large-scale h...
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09/16/2020
Network Analysis of Orchestral Concert Programming
Orchestral concert programming is a challenging, yet critical task for e...
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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 ...
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04/28/2020
Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles
Quantification of stylistic differences between musical artists is of ac...
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08/12/2017
Classical Music Composition Using State Space Models
Algorithmic composition of music has a long history and with the develop...
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07/25/2017
