introduction to nonparametric estimation
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introduction to nonparametric estimation
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ten projects in applied statistics
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ten projects in applied statistics
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semiparametric and nonparametric met...
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semiparametric and nonparametric methods in econometrics
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spatial statistics and modeling
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spatial statistics and modeling
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inequalities
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comparison of the bayesian and frequ...
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comparison of the bayesian and frequentist approaches to estimation
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elements of statistical learning
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elements of statistical learning
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permutation, parametric and bootstra...
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permutation, parametric and bootstrap tests of hypotheses
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inference in hidden markov models
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inference in hidden markov models
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statistical foundations, reasoning a...
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statistical foundations, reasoning and inference
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modeling discrete time-to-event data
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modeling discrete time-to-event data
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weak convergence and empirical processes
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weak convergence and empirical processes
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information criteria and statistical...
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information criteria and statistical modeling
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vector generalized linear and additi...
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vector generalized linear and additive models
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comparing distributions
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design of observational studies
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design of observational studies
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markov bases in algebraic statistics
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markov bases in algebraic statistics
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bayesian nonparametric data analysis
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bayesian nonparametric data analysis
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monte carlo and quasi-monte carlo sa...
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monte carlo and quasi-monte carlo sampling
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statistical analysis of network data
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statistical analysis of network data
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