Výsledky vyhledávání - "LAMBERT, Philippe"

Dissertation/ Thesis

La confection des pancartes chez les moines de Saint-Rigaud (dernier tiers du XIᵉ siècle) : étude d'un genre diplomatique méconnu

Autor: Lambert, Philippe

Au cours du dernier tiers du XI$^\textup{e}$ siècle, les moines de l'abbaye de Saint-Rigaud (Ligny-en-Brionnais, Saône-et-Loire) ont produit plusieurs grandes pancartes. Ces documents contiennent chacun la copie d'au moins deux textes dont les orig

Externí odkaz: https://hdl.handle.net/20.500.11794/143144

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Local moment matching with Erlang mixtures under automatic roughness penalization

Autor: Laverny, Oskar, Lambert, Philippe

We consider the class of Erlang mixtures for the task of density estimation on the positive real line when the only available information is given as local moments, a histogram with potentially higher order moments in some bins. By construction, the

Externí odkaz: http://arxiv.org/abs/2402.15866

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Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models

Autor: Lambert, Philippe, Gressani, Oswaldo

Publikováno v: Statistical Modelling 2023

Laplacian-P-splines (LPS) associate the P-splines smoother and the Laplace approximation in a unifying framework for fast and flexible inference under the Bayesian paradigm. Gaussian Markov field priors imposed on penalized latent variables and the B

Externí odkaz: http://arxiv.org/abs/2210.01668

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Moment-based density and risk estimation from grouped summary statistics

Autor: Lambert, Philippe

Publikováno v: Insurance: Mathematics and Economics 108: 177-189 (2023)

Data on a continuous variable are often summarized by means of histograms or displayed in tabular format: the range of data is partitioned into consecutive interval classes and the number of observations falling within each class is provided to the a

Externí odkaz: http://arxiv.org/abs/2107.03883

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Fast Bayesian Inference in Nonparametric Double Additive Location-Scale Models With Right- and Interval-Censored Data

Autor: Lambert, Philippe

Penalized B-splines are routinely used in additive models to describe smooth changes in a response with quantitative covariates. It is typically done through the conditional mean in the exponential family using generalized additive models with an ind

Externí odkaz: http://arxiv.org/abs/2005.05156

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Laplace approximation for fast Bayesian inference in generalized additive models based on penalized regression splines

Autor: Gressani, Oswaldo, Lambert, Philippe

Publikováno v: Computational Statistics & Data Analysis 154 (2021): 107088

Generalized additive models (GAMs) are a well-established statistical tool for modeling complex nonlinear relationships between covariates and a response assumed to have a conditional distribution in the exponential family. In this article, P-splines

Externí odkaz: http://arxiv.org/abs/2003.07214

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