Srinivas Sujayendra's research and 17+ years of experience drive data modernization in healthcare and finance through ...

Abstract: Markov chain Monte Carlo (MCMC) algorithms are widely used in Bayesian inference to compute the posterior distribution of complex models, facilitating sampling from probability distributions ...

Abstract: Due to operating condition drift, environmental changes, and system oscillations, industrial processes often exhibit nonstationary characteristics that involve both stable long-term trend ...