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by Michel Mandjes
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Applied parameter estimation for chemical engineers
Peter Englezos
Bayesian Regression Modeling with INLA
Xiaofeng Wang
Gaussian processes for machine learning
Carl Edward Rasmussen
Surrogates
Robert B. Gramacy
Semialgebraic statistics and latent tree models
Piotr Zwiernik
Stable Non-Gaussian Random Processes
Gennady Samoradnitsky
Gaussian process regression analysis for functional data
Jian Qing Shi
Handbook for Applied Modeling
Jamie D. Riggs
Markov processes, Gaussian processes, and local times
Michael B. Marcus
