23 citations · 38 across the 4 of their papers we have counts for
4 papers
Fourier Methods for Sufficient Dimension Reduction in Time Series
S. Yaser Samadi, Tharindu P. De Alwis
Dimensionality reduction has always been one of the most significant and challenging problems in the analysis of high-dimensional data. In the context of time series analysis, our…
Reduced-rank Envelope Vector Autoregressive Models
S. Yaser Samadi, Wiranthe B. Herath
The standard vector autoregressive (VAR) models suffer from overparameterization which is a serious issue for high-dimensional time series data as it restricts the number of variab…
itdr: An R package of Integral Transformation Methods to Estimate the SDR Subspaces in Regression
Tharindu P. De Alwis, S. Yaser Samadi, Jiaying Weng
Sufficient dimension reduction (SDR) is an effective tool for regression models, offering a viable approach to address and analyze the nonlinear nature of regression problems. This…
Modeling Count Data via Copulas
Hadi Safari-Katesari, S. Yaser Samadi, Samira Zaroudi
Copula models have been widely used to model the dependence between continuous random variables, but modeling count data via copulas has recently become popular in the statistics l…