Efficient Decision Trees for Tensor Regressions
H Luo, A Horiguchi, L Ma - arXiv preprint arXiv:2408.01926, 2024 - arxiv.org
We proposed the tensor-input tree (TT) method for scalar-on-tensor and tensor-on-tensor
regression problems. We first address scalar-on-tensor problem by proposing scalar-output …
regression problems. We first address scalar-on-tensor problem by proposing scalar-output …
Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities
We give a gentle introduction to solar imaging data, focusing on the challenges and
opportunities of data-driven approaches for solar eruptions. We present various solar …
opportunities of data-driven approaches for solar eruptions. We present various solar …
An Introduction on Solar Imaging Data Analytic Challenges and Opportunities for Statisticians
We give a gentle introduction to solar imaging data, focusing on challenges and
opportunities of data-driven approaches for solar eruptions. The various solar phenomena …
opportunities of data-driven approaches for solar eruptions. The various solar phenomena …
Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
We develop a new methodology for forecasting matrix-valued time series with historical
matrix data and auxiliary vector time series data. We focus on a time series of matrices …
matrix data and auxiliary vector time series data. We focus on a time series of matrices …
Conformalized Tensor Completion with Riemannian Optimization
Tensor data, or multi-dimensional array, is a data format popular in multiple fields such as
social network analysis, recommender systems, and brain imaging. It is not uncommon to …
social network analysis, recommender systems, and brain imaging. It is not uncommon to …
Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas
X Chen, Y Sharma, HH Zhang, X Hao… - arXiv preprint arXiv …, 2024 - arxiv.org
In simulation-based engineering design with time-consuming simulators, Gaussian process
(GP) models are widely used as fast emulators to speed up the design optimization process …
(GP) models are widely used as fast emulators to speed up the design optimization process …
[PDF][PDF] Astrostatistics in Canada and Beyond
P Barmby, G Eadie, G Sivakoff, D Stenning - 2023 - birs.ca
Astrostatistics is the development and application of statistical methods to measurements of
the Universe beyond the Earth's atmosphere. As one of the oldest quantitative sciences …
the Universe beyond the Earth's atmosphere. As one of the oldest quantitative sciences …