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07/01/2023
A Transparent and Nonlinear Method for Variable Selection
Variable selection is a procedure to attain the truly important predicto...
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03/11/2023
Space-Invariant Projection in Streaming Network Embedding
Newly arriving nodes in dynamics networks would gradually make the node ...
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12/07/2021
Enhancing the SVD Compression
Orthonormality is the foundation of matrix decomposition. For example, S...
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03/31/2021
Forecasting open-high-low-close data contained in candlestick chart
Forecasting the (open-high-low-close)OHLC data contained in candlestick ...
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03/31/2021
Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA
The (open-high-low-close) OHLC data is the most common data form in the ...
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12/08/2020
Sparse Correspondence Analysis for Contingency Tables
Since the introduction of the lasso in regression, various sparse method...
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11/07/2018
A Flexible Spatial Autoregressive Modelling Framework for Mixed Covariates of Multiple Data Types
Mixed spatial autoregressive (SAR) models with numerical covariates have...
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11/01/2018
Spatial Functional Linear Model and its Estimation Method
The classical functional linear regression model (FLM) and its extension...
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05/15/2018