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Iterated filtering
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#	Item
1	Discussion of Particle Markov chain Monte Carlo methods by Andrieu et al. Anindya Bhadra, Department of Statistics, University of Michigan, Ann Arbor, MI[removed]USA The authors present an elegant theory for novel methodo Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-03-19 13:46:14 Statistical theory Statistical inference Likelihood function Maximum likelihood Iterated filtering Bayesian inference Expectation–maximization algorithm Statistics Estimation theory Bayesian statistics
2	Time series analysis for nonlinear dynamical systems with applications to modeling of infectious diseases by Anindya Bhadra Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2012-08-13 14:35:46 Monte Carlo methods Statistical inference Bayesian statistics Iterated filtering Particle filter Likelihood function Maximum likelihood Akaike information criterion Importance sampling Statistics Estimation theory Probability and statistics
3	Discussion of “Riemann manifold Langevin and Hamiltonian Monte Carlo methods” by M. Girolami and B. Calderhead Anindya Bhadra Department of Statistics, Texas A&M University, College Station, TX[removed]. Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2012-08-13 14:35:46 Markov models Computational statistics Markov chain Monte Carlo Statistical inference Bayesian statistics Iterated filtering Markov chain Bayesian inference Statistics Probability and statistics Monte Carlo methods

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