Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent ...

“A Hidden Markov Model Combined with Climate Indices for Multi-decadal Streamflow Simulation,” Water Resources Research, 50, 7836-7846. Abstract: Hydroclimate time series often exhibit very low ...

Abstract Wavelet and hidden Markov-based modeling frameworks were developed to better capture the nonstationarity and non-Gaussian characteristics of streamflow that linear models cannot.

In a study published in Frontiers of Engineering Management, researchers from Huazhong University of Science and Technology present an online hidden Markov model (OHMM) for predicting geological risks ...

Steven L. Scott, Gareth M. James, Catherine A. Sugar, Hidden Markov Models for Longitudinal Comparisons, Journal of the American Statistical Association, Vol. 100, No ...

T. Rolf Turner, Murray A. Cameron, Peter J. Thomson, Hidden Markov Chains in Generalized Linear Models, The Canadian Journal of Statistics / La Revue Canadienne de ...