Denis Bosq Inference and Prediction in Large Dimensions
Купить за 11268.76 RUR
This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive
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Denis Bosq Mathematical Statistics and Stochastic Processes
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Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very
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Mervyn Silvapulle J. Constrained Statistical Inference
Купить за 15785.26 RUR
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference
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Christopher Small G. Hilbert Space Methods in Probability and Statistical Inference
Купить за 24569.59 RUR
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.
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Denis Hamilton Pesticide Residues in Food and Drinking Water
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This book explores human exposure and consumer risk assessment in response to issues surrounding pesticide residues in food and drinking water. All the three main areas of consumer risk assessment including human toxicology, pesticide residue chemistry and dietary consumption are brought together
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B. L. S. Prakasa Rao Statistical Inference for Fractional Diffusion Processes
Купить за 12049.11 RUR
Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications point of view. This
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B. L. S. Prakasa Rao Statistical Inference for Fractional Diffusion Processes
Купить за 11915.33 RUR
Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications point of view. This
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Fabrizio Ruggeri Bayesian Analysis of Stochastic Process Models
Купить за 9383.49 RUR
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational,
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Luonan Chen Biomolecular Networks
Купить за 13086.34 RUR
Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has
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Группа авторов Aspects of Statistical Inference
Купить за 19939.4 RUR
Relevant, concrete, and thorough–the essential data-based text on statistical inference The ability to formulate abstract concepts and draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate students with a
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Judea Pearl Causal Inference in Statistics
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Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented
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Группа авторов Prediction of Protein Structures, Functions, and Interactions
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The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction of Protein Structures,
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