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  1. No Access

    Chapter

    Functional Data Analysis for Big Data: A Case Study on California Temperature Trends

    In recent years, detailed historical records, remote sensing, genomics and medical imaging applications as well as the rise of the Internet-of-Things present novel data streams. Many of these data are instance...

    Pantelis Zenon Hadjipantelis, Hans-Georg Müller in Handbook of Big Data Analytics (2018)

  2. No Access

    Article

    Quantifying Infinite-Dimensional Data: Functional Data Analysis in Action

    Functional data analysis (FDA) is concerned with inherently infinite-dimensional data objects and therefore can be viewed as part of the methodology for big data. The size of functional data may vary from tera...

    Kehui Chen, **aoke Zhang, Alexander Petersen… in Statistics in Biosciences (2017)

  3. Chapter

    Function Estimation

    The following is a brief review of three landmark papers of Peter Bickel on theoretical and methodological aspects of nonparametric density and regression estimation and the related topic of goodness-of-fit te...

    Hans-Georg Müller in Selected Works of Peter J. Bickel (2014)

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  4. No Access

    Chapter and Conference Paper

    Functional Varying Coefficient Models

    Functional varying coefficient models provide a versatile and flexible analysis tool for relating longitudinal responses to longitudinal predictors. Two key innovations are: Representing the varying coefficien...

    Hans-Georg Müller, Damla Şentürk in Recent Advances in Functional Data Analysi… (2011)

  5. No Access

    Reference Work Entry In depth

    Functional Data Analysis

    Hans-Georg Müller in International Encyclopedia of Statistical Science (2011)

  6. No Access

    Article

    Rejoinder on: dynamic relations for sparsely sampled Gaussian processes

    Hans-Georg Müller, Wen**g Yang in TEST (2010)

  7. No Access

    Article

    Dynamic relations for sparsely sampled Gaussian processes

    In longitudinal studies, it is common to observe repeated measurements data from a sample of subjects where noisy measurements are made at irregular times, with a random number of measurements per subject. Oft...

    Hans-Georg Müller, Wen**g Yang in TEST (2010)

  8. No Access

    Chapter and Conference Paper

    Empirical Dynamics and Functional Data Analysis

    We review some recent developments on modeling and estimation of dynamic phenomena within the framework of Functional Data Analysis (FDA). The focus is on longitudinal data which correspond to sparsely and irr...

    Hans-Georg Müller in Proceedings of COMPSTAT'2010 (2010)

  9. No Access

    Article

    Discussion: Forecasting functional time series

    Jeng-Min Chiou, Hans-Georg Müller… in Journal of the Korean Statistical Society (2009)

  10. No Access

    Article

    Comments on: Nonparametric inference with generalized likelihood ratio tests

    Hans-Georg Müller in TEST (2007)

  11. No Access

    Chapter and Conference Paper

    Nichtparametrische Regression für die Analyse von Verlaufskurven

    Zur Analyse biomedizinischer Verlaufskurven werden Methoden der nicht-parametrischen Regression vorgeschlagen, insbesondere Kernschätzer und glättende Splines. Die grundlegenden Ideen und einige asymptotische ...

    Hans-Georg Müller in Neuere Verfahren der nichtparametrischen Statistik (1985)