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Cox process functional learning (Q500875)

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Language	Label	Description	Also known as
English	Cox process functional learning	scientific article

Statements

scholarly article

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Cox process functional learning (English)

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Statistical Inference for Stochastic Processes

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publication date

5 October 2015

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full work available at URL

https://arxiv.org/abs/1410.4029

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zbMATH Keywords

functional data analysis

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Cox process

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supervised classification

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oracle inequality

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consistency

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regularization

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stochastic calculus

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Supervised Classification for a Family of Gaussian Functional Models

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Convexity, Classification, and Risk Bounds

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Generalized Poisson Models and their Applications in Insurance and Finance

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Simultaneous analysis of Lasso and Dantzig selector

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10.1162/1532443041424319

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Statistical performance of support vector machines

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Sparsity oracle inequalities for the Lasso

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Supervised classification of diffusion paths

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The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).

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Recent advances in functional data analysis and related topics. Selected papers based on the presentations at the international workshop on functional and operatorial statistics (IWFOS'2011), Santander, Spain, June 16--18, 2011.

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Boosting a weak learning algorithm by majority

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A decision-theoretic generalization of on-line learning and an application to boosting

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Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)

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Concentration inequalities and asymptotic results for ratio type empirical processes

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Lasso and probabilistic inequalities for multivariate point processes

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Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context

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Oracle inequalities in empirical risk minimization and sparse recovery problems. École d'Été de Probabilités de Saint-Flour XXXVIII-2008.

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Introduction to empirical processes and semiparametric inference

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On the Bayes-risk consistency of regularized boosting methods.

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The Lasso as an \(\ell _{1}\)-ball model selection procedure

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Applied functional data analysis. Methods and case studies

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Functional data analysis.

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Functional data analysis for point processes with rare events

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Weak convergence and empirical processes. With applications to statistics

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Statistical behavior and consistency of classification methods based on convex risk minimization.

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Identifiers

zbMATH Open document ID

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10.1007/s11203-015-9115-z

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:500875

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