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math.ST2023
Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming
Somnath Chakraborty, Johannes Lederer, Rainer von Sachs
Motivated by a variety of applications, high-dimensional time series have become an active topic of research. In particular, several methods and finite-sample theories for individu…
math.ST2023
Cardinality Sparsity: Applications in Matrix-Matrix Multiplications and Machine Learning
Ali Mohades, Johannes Lederer
High-dimensional data has become ubiquitous across the sciences but presents computational and statistical challenges. A common approach to addressing these challenges is through s…