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An introduction to statistical computing : a simulation-based approach

Computational statistics

Symbolic data analysis - extracting knowledge from complex data

Multivariate nonparametric regression and visualization : with R and applications to finance

Large-scale inverse problems and quantification of uncertainty

Advanced Markov chain Monte Carlo methods : learning from past aamples

Bayesian modeling using WinBUGS

Computational Bayesian statistics

Statistical and machine learning approaches for network analysis

Clustering Methodology for Symbolic Data

Data mining and statistics for decision making

A statistical approach to neural networks for pattern recognition

Graphical models : methods for data analysis and mining

Statistical and machine learning approaches for network analysis : 707

Computational statistics

Clustering Methodology for Symbolic Data

Large-Scale Inverse Problems and Quantification of Uncertainty : 712

Multivariate nonparametric regression and visualization: with R and applications to finance : 699

An introduction to statistical computing: a simulation-based approach

Symbolic data analysis: conceptual statistics and data mining

Data mining using SAS Enterprise miner

Advanced Markov chain Monte Carlo methods: learning from past samples

Large-scale inverse problems and quantification of uncertainty

Handbook of Computational Econometrics

Understanding computational Bayesian statistics

Data mining and statistics for decision making

Data Mining and Statistics for Decision Making

Multivariate nonparametric regression and visualization: with R and applications to finance : 699

Statistical and Machine Learning Approaches for Network Analysis : 707

Advanced Markov Chain Monte Carlo Methods: Learning from Past Aamples : 714

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