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  • Statistical Inference Under Mixture Models

    by Jiahua Chen ...
    Series series Mathematics and Statistics (R0)
    This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.At the same time, many researchers find ... Read more

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  • Advances and Innovations in Statistics and Data Science

    Series series Mathematics and Statistics (R0)
    This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ... Read more

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  • Advanced Statistical Methods in Data Science

    Series series Mathematics and Statistics (R0)
    This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the ... Read more

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  • Annual Report on Actions to Address Climate Change (2019)

    Climate Risk Prevention

    Series series Economics and Finance (R0)
    This book highlights China’s theoretical advances and practical actions toward climate risk prevention in 2019. It provides both an overview and detailed discussion of specific topics, including case studies. The general report assesses the latest changes in the climate system both globally and in China, and identifies areas most susceptible to the impact of climate change. This is followed by ... Read more

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    Series series Chapman & Hall/CRC Texts in Statistical Science
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  • Advances on Theoretical and Methodological Aspects of Probability and Statistics

    Edited by N. Balakrishnan ...
    At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and ... Read more

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  • Big and Complex Data Analysis

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    Edited by S. Ejaz Ahmed ...
    Series series Mathematics and Statistics (R0)
    This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.The continued and rapid advancement of modern technology now ... Read more

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  • Regularized System Identification

    Learning Dynamic Models from Data

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    The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.The Handbook of Statistics is a series of self-contained ... Read more

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  • Hidden Markov Models for Time Series

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    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Read more

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  • Essential Statistical Methods for Medical Statistics

    Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development ... Read more

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