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Seminar in Statistics:

Functional Data Analysis

Hans Rudolf K¨unsch and Jonas Peters

Mo, 15-17 Uhr, HG E 1.1 ETH Z¨urich, 27.2.2014

§ 1 Converting discrete to functional data

I Basis functions I (24.02.2014, J. Peters) Marco Eigenmann, Tobia Fasciati

Chapter 3; Chapter 4 (not chapter 4.5).

II Basis functions II (03.03.2014, J. Peters) Gian Thanei, Andreas Elsener

Chapter 4.5; Chapter 5.

§ 2 Registration

III Registration (10.03.2014, R. Dezeure) Lucas Enz, Florian Fricker

Chapter 7; Gervini and Gasser: “Self-modeling warping functions”. Journal of the Royal Statistical Society (Series B), 66(4), p. 959-971, 2004.

§ 3 Principal component analysis for functional data

IV Functional PCA I (17.03.2014, R. Dezeure) Hannes Toggenburger, Andrea Gabrielli

Chapter 8; estimation of covariance matrix; Karhunen-Lo`eve theorem V Functional PCA II (24.03.2014, R. Dezeure)

Clara Pelloni, Alice Mazzolini Chapter 9 and Chapter 10

§ 4 Functional linear models

VI Functional response and the concurrent model (31.03.2014, C. Kerkhoff) Christoph Glanzer, Stephan Artmann

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Chapter 13: functional response, multivariate covariates; Chapter 14: functional re- sponse, functional covariate with concurrent model

VII Functional covariates (07.04.2014, R. Dezeure) Patrick Z¨ochbauer, Edmond Murati

Chapter 15: scalar response, functional covariates; Chapter 16: functional response, functional covariates

§ 5 Differential equation models

VIII Differential Equations I (14.04.2014, C. Kerkhoff, 1st meeting on 28.3. instead of 31.3.)

Laura Gulfi, Roberto Skory, Mehdi Bida

Chapter 18 and Chapter 19 up to (including) 19.4 IX Differential Equations II(05.05.2014, C. Kerkhoff)

Giona Casiraghi, Julien Schroeter

Chapter 19 from (including) 19.5 and J. O. Ramsay, G. Hooker, D. Campbell and J. Cao:

“Parameter estimation for differential equations: a generalized smoothing approach”.

Journal of the Royal Statistical Society (Series B), 69(5), 2007.

§ 6 Nonparametric functional data analysis

X Nonparametric Prediction (12.05.2014, H. K¨unsch) Vera Stalder, Heidi Pang, Mara N¨agelin

Chapter 5 in Ferraty and Vieu: “Nonparametric Functional Data Analysis”, Springer (2006), available online from ETH library; from Chapter 6 and 7 only regression (same book)

XI Nonparametric Classification (19.05.2014, H. K¨unsch) Sabrina Dorn, Peter Michailow

Chapter 8 (classification) and 9 (clustering) from the same book

§ 7 Sparse data

XII Sparse data (26.05.2014, H. K¨unsch) Sriharsha Challapalli, Nina Roth

Yao, M¨uller and Wang: “Functional Data Analysis for Sparse Longitudinal Data”.

Journal of the American Statistical Association, 100(470), p. 577-590, 2005.

Questions: number−4 modulo 12, e.g. group VI asks questions to group II.

Feedback: number +4 modulo 12, e.g. group XI gives feedback to group III.

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