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 combination ...

C. Bracken, B. Rajagopalan, & E. Zagona (2014). “A Hidden Markov Model Combined with Climate Indices for Multi-decadal Streamflow Simulation,” Water Resources Research, 50, 7836-7846. Abstract: ...

Pierre Ailliot, Craig Thompson, Peter Thomson, Space: Time Modelling of Precipitation by Using a Hidden Markov Model and Censored Gaussian Distributions, Journal of the Royal Statistical Society.

Erkyihun S.T., E Zagona, B. Rajagopalan, (2017). “Wavelet and Hidden Markov-Based Stochastic Simulation Methods Comparison on Colorado River Streamflow,” Journal of Hydrologic Engineering 2017, 22(9): ...

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 ...