Around 80% of proteins involved in diseases like cancer and neurodegenerative illnesses do not have a stable structure. These ...
Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...
With regulatory shifts, fintech disruption and rate volatility testing resilience, treasurers who refine balance sheet strategy and strengthen asset-liability management will uncover new avenues for ...
Abstract: Recently, dynamic latent variable (DLV) models have been prevalent in dynamic data modeling and process monitoring. They maximize the covariance or canonical correlation between latent ...
The normal operating range for a business, often referred to as the relevant range, is a crucial concept in cost accounting ...
Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.
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