Search Results - "Gervini, Daniel"

Nonparametric maximum likelihood estimation of the structural mean of a sample of curves by Gervini, Daniel, Gasser, Theo

“…A random sample of curves can be usually thought of as noisy realisations of a compound stochastic process X(t) = Z{W(t)}, where Z(t) produces random amplitude…”
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Doubly stochastic models for spatio‐temporal covariation of replicated point processes by Gervini, Daniel

“…This article proposes log‐linear models for the latent intensity functions of replicated spatio‐temporal point processes. By simultaneously fitting correlated…”
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Spatial kriging for replicated temporal point processes by Gervini, Daniel

“…This paper presents a kriging method for spatial prediction of temporal intensity functions, for situations where a temporal point process is observed at…”
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Exploring patterns of demand in bike sharing systems via replicated point process models by Gervini, Daniel, Khanal, Manoj

“…Understanding patterns of demand is fundamental for fleet management of bike sharing systems. We analyse data from the Divvy system of the city of Chicago. We…”
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Dynamic Retrospective Regression for Functional Data by Gervini, Daniel

“…Samples of curves, or functional data, usually present phase variability in addition to amplitude variability. Existing functional regression methods do not…”
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OUTLIER DETECTION AND TRIMMED ESTIMATION FOR GENERAL FUNCTIONAL DATA by Gervini, Daniel

“…This article introduces trimmed estimators for the mean and covariance function of general functional data. The estimators are based on a new measure of…”
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Independent component models for replicated point processes by Gervini, Daniel

“…We propose a semiparametric independent-component model for the intensity functions of replicated point processes. We show that the maximum likelihood…”
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Robust functional estimation using the median and spherical principal components by Gervini, Daniel

“…We present robust estimators for the mean and the principal components of a stochastic process in . Robustness and asymptotic properties of the estimators are…”
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Warped functional regression by GERVINI, DANIEL

“…A characteristic feature of functional data is the presence of phase variability in addition to amplitude variability. Existing functional regression methods…”
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DETECTING AND HANDLING OUTLYING TRAJECTORIES IN IRREGULARLY SAMPLED FUNCTIONAL DATASETS by Gervini, Daniel

“…Outlying curves often occur in functional or longitudinal datasets, and can be very influential on parameter estimators and very hard to detect visually. In…”
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JOINT MODELS FOR GRID POINT AND RESPONSE PROCESSES IN LONGITUDINAL AND FUNCTIONAL DATA by Gervini, Daniel, Baur, Tyler J

“…The distribution of the grid points at which a response function is observed in longitudinal or functional data applications is often informative and not…”
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Analysis of AneuRisk65 data: Warped logistic discrimination by Gervini, Daniel

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The functional singular value decomposition for bivariate stochastic processes by GERVINI, Daniel

“…In this article we present some statistical applications of the functional singular value decomposition (FSVD). This tool allows us to decompose the sample…”
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Retracted: The functional singular value decomposition for bivariate stochastic processes by Gervini, Daniel

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RETRACTED: The functional singular value decomposition for bivariate stochastic processes by Gervini, Daniel

“…This article has been retracted at the request of the Editor-in-Chief with approval by the Co-Editors. Please see Elsevier Policy on Article Withdrawal (…”
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Free-knot spline smoothing for functional data by Gervini, Daniel

“…The paper introduces free-knot regression spline estimators for the mean and the variance components of a sample of curves. The asymptotic distribution of the…”
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Warped functional analysis of variance by Gervini, Daniel, Carter, Patrick A

“…This article presents an Analysis of Variance model for functional data that explicitly incorporates phase variability through a time‐warping component,…”
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Self-modelling warping functions by Gervini, Daniel, Gasser, Theo

“…The paper introduces a semiparametric model for functional data. The warping functions are assumed to be linear combinations of q common components, which are…”
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Spatial kriging for replicated temporal point processes by Gervini, Daniel

“…This paper presents a kriging method for spatial prediction of temporal intensity functions, for situations where a temporal point process is observed at…”
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Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection by Auer, Philipp, Gervini, Daniel

“…This article approaches the problem of selecting significant principal components from a Bayesian model selection perspective. The resulting Bayes rule…”
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